Zipf1 All Model with all treshold Test Data Result Obj Size Ignored

Result

Model Summaries

Model Better than base % of the times
LR_1[cache_size=0.01,treshold=0.5] 0
LR_1_log[cache_size=0.01,treshold=0.5] 0
LR_1_mean[cache_size=0.01,treshold=0.5] 0
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 0
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 0
LR_2[cache_size=0.01,treshold=0.5] 0
LR_2_log[cache_size=0.01,treshold=0.5] 0
LR_2_mean[cache_size=0.01,treshold=0.5] 0
LR_3[cache_size=0.01,treshold=0.5] 0
LR_3_log[cache_size=0.01,treshold=0.5] 0
LR_3_mean[cache_size=0.01,treshold=0.5] 0
LR_4[cache_size=0.01,treshold=0.5] 0
LR_4_log[cache_size=0.01,treshold=0.5] 0
LR_4_mean[cache_size=0.01,treshold=0.5] 0
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 0
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 0
LR_5[cache_size=0.01,treshold=0.5] 0
LR_5_imba[cache_size=0.01,treshold=0.5] 0
LR_6[cache_size=0.01,treshold=0.5] 0
LR_6_imba[cache_size=0.01,treshold=0.5] 0
LR_7[cache_size=0.01,treshold=0.3] 0
LR_7[cache_size=0.01,treshold=0.5] 0
LR_7[cache_size=0.01,treshold=0.6] 0
LR_7[cache_size=0.01,treshold=0.7] 0
LR_7[cache_size=0.01,treshold=0.8] 100
LR_7[cache_size=0.01,treshold=0.9] 100
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 100
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_7_id[cache_size=0.01,treshold=0.3] 0
LR_7_id[cache_size=0.01,treshold=0.5] 0
LR_7_id[cache_size=0.01,treshold=0.6] 0
LR_7_id[cache_size=0.01,treshold=0.7] 0
LR_7_id[cache_size=0.01,treshold=0.8] 100
LR_7_id[cache_size=0.01,treshold=0.9] 100
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 100
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 100
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 100
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 100
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 100
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 100
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 100
LR_8[cache_size=0.01,treshold=0.3] 0
LR_8[cache_size=0.01,treshold=0.5] 0
LR_8[cache_size=0.01,treshold=0.6] 0
LR_8[cache_size=0.01,treshold=0.7] 0
LR_8[cache_size=0.01,treshold=0.8] 100
LR_8[cache_size=0.01,treshold=0.9] 100
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 100
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_8_id[cache_size=0.01,treshold=0.3] 0
LR_8_id[cache_size=0.01,treshold=0.5] 0
LR_8_id[cache_size=0.01,treshold=0.6] 0
LR_8_id[cache_size=0.01,treshold=0.7] 0
LR_8_id[cache_size=0.01,treshold=0.8] 100
LR_8_id[cache_size=0.01,treshold=0.9] 100
LR_9[cache_size=0.01,treshold=0.3] 0
LR_9[cache_size=0.01,treshold=0.5] 0
LR_9[cache_size=0.01,treshold=0.6] 0
LR_9[cache_size=0.01,treshold=0.7] 0
LR_9[cache_size=0.01,treshold=0.8] 100
LR_9[cache_size=0.01,treshold=0.9] 100
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 100
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_9_id[cache_size=0.01,treshold=0.3] 0
LR_9_id[cache_size=0.01,treshold=0.5] 0
LR_9_id[cache_size=0.01,treshold=0.6] 0
LR_9_id[cache_size=0.01,treshold=0.7] 0
LR_9_id[cache_size=0.01,treshold=0.8] 100
LR_9_id[cache_size=0.01,treshold=0.9] 100
LR_decay_rtime[cache_size=0.01,treshold=0.3] 0
LR_decay_rtime[cache_size=0.01,treshold=0.5] 0
LR_decay_rtime[cache_size=0.01,treshold=0.6] 0
LR_decay_rtime[cache_size=0.01,treshold=0.7] 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] 0
LR_decay_vtime[cache_size=0.01,treshold=0.5] 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0
LR_id[cache_size=0.01,treshold=0.3] 0
LR_id[cache_size=0.01,treshold=0.5] 0
LR_id[cache_size=0.01,treshold=0.6] 0
LR_id[cache_size=0.01,treshold=0.7] 100
LR_id[cache_size=0.01,treshold=0.8] 100
LR_id[cache_size=0.01,treshold=0.9] 100
LR_1[cache_size=0.1,treshold=0.5] 0
LR_1_log[cache_size=0.1,treshold=0.5] 0
LR_1_mean[cache_size=0.1,treshold=0.5] 0
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 0
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 0
LR_2[cache_size=0.1,treshold=0.5] 0
LR_2_log[cache_size=0.1,treshold=0.5] 0
LR_2_mean[cache_size=0.1,treshold=0.5] 0
LR_3[cache_size=0.1,treshold=0.5] 0
LR_3_log[cache_size=0.1,treshold=0.5] 0
LR_3_mean[cache_size=0.1,treshold=0.5] 0
LR_4[cache_size=0.1,treshold=0.5] 0
LR_4_log[cache_size=0.1,treshold=0.5] 0
LR_4_mean[cache_size=0.1,treshold=0.5] 0
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 0
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 0
LR_5[cache_size=0.1,treshold=0.5] 0
LR_5_imba[cache_size=0.1,treshold=0.5] 0
LR_6[cache_size=0.1,treshold=0.5] 0
LR_6_imba[cache_size=0.1,treshold=0.5] 0
LR_7[cache_size=0.1,treshold=0.3] 0
LR_7[cache_size=0.1,treshold=0.5] 0
LR_7[cache_size=0.1,treshold=0.6] 0
LR_7[cache_size=0.1,treshold=0.7] 0
LR_7[cache_size=0.1,treshold=0.8] 100
LR_7[cache_size=0.1,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_7_id[cache_size=0.1,treshold=0.3] 0
LR_7_id[cache_size=0.1,treshold=0.5] 0
LR_7_id[cache_size=0.1,treshold=0.6] 0
LR_7_id[cache_size=0.1,treshold=0.7] 100
LR_7_id[cache_size=0.1,treshold=0.8] 100
LR_7_id[cache_size=0.1,treshold=0.9] 100
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 40
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 100
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 100
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_8[cache_size=0.1,treshold=0.3] 0
LR_8[cache_size=0.1,treshold=0.5] 0
LR_8[cache_size=0.1,treshold=0.6] 0
LR_8[cache_size=0.1,treshold=0.7] 0
LR_8[cache_size=0.1,treshold=0.8] 100
LR_8[cache_size=0.1,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_8_id[cache_size=0.1,treshold=0.3] 0
LR_8_id[cache_size=0.1,treshold=0.5] 0
LR_8_id[cache_size=0.1,treshold=0.6] 0
LR_8_id[cache_size=0.1,treshold=0.7] 100
LR_8_id[cache_size=0.1,treshold=0.8] 100
LR_8_id[cache_size=0.1,treshold=0.9] 100
LR_9[cache_size=0.1,treshold=0.3] 0
LR_9[cache_size=0.1,treshold=0.5] 0
LR_9[cache_size=0.1,treshold=0.6] 0
LR_9[cache_size=0.1,treshold=0.7] 0
LR_9[cache_size=0.1,treshold=0.8] 100
LR_9[cache_size=0.1,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_9_id[cache_size=0.1,treshold=0.3] 0
LR_9_id[cache_size=0.1,treshold=0.5] 0
LR_9_id[cache_size=0.1,treshold=0.6] 0
LR_9_id[cache_size=0.1,treshold=0.7] 100
LR_9_id[cache_size=0.1,treshold=0.8] 100
LR_9_id[cache_size=0.1,treshold=0.9] 100
LR_decay_rtime[cache_size=0.1,treshold=0.3] 0
LR_decay_rtime[cache_size=0.1,treshold=0.5] 0
LR_decay_rtime[cache_size=0.1,treshold=0.6] 0
LR_decay_rtime[cache_size=0.1,treshold=0.7] 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] 0
LR_decay_vtime[cache_size=0.1,treshold=0.5] 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0
LR_id[cache_size=0.1,treshold=0.3] 0
LR_id[cache_size=0.1,treshold=0.5] 100
LR_id[cache_size=0.1,treshold=0.6] 100
LR_id[cache_size=0.1,treshold=0.7] 100
LR_id[cache_size=0.1,treshold=0.8] 100
LR_id[cache_size=0.1,treshold=0.9] 100
LR_1[cache_size=0.2,treshold=0.5] 0
LR_1_log[cache_size=0.2,treshold=0.5] 0
LR_1_mean[cache_size=0.2,treshold=0.5] 0
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 0
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 0
LR_2[cache_size=0.2,treshold=0.5] 0
LR_2_log[cache_size=0.2,treshold=0.5] 0
LR_2_mean[cache_size=0.2,treshold=0.5] 0
LR_3[cache_size=0.2,treshold=0.5] 0
LR_3_log[cache_size=0.2,treshold=0.5] 0
LR_3_mean[cache_size=0.2,treshold=0.5] 0
LR_4[cache_size=0.2,treshold=0.5] 0
LR_4_log[cache_size=0.2,treshold=0.5] 0
LR_4_mean[cache_size=0.2,treshold=0.5] 0
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 0
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 0
LR_5[cache_size=0.2,treshold=0.5] 0
LR_5_imba[cache_size=0.2,treshold=0.5] 0
LR_6[cache_size=0.2,treshold=0.5] 0
LR_6_imba[cache_size=0.2,treshold=0.5] 0
LR_7[cache_size=0.2,treshold=0.3] 0
LR_7[cache_size=0.2,treshold=0.5] 0
LR_7[cache_size=0.2,treshold=0.6] 0
LR_7[cache_size=0.2,treshold=0.7] 0
LR_7[cache_size=0.2,treshold=0.8] 0
LR_7[cache_size=0.2,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_7_id[cache_size=0.2,treshold=0.3] 0
LR_7_id[cache_size=0.2,treshold=0.5] 0
LR_7_id[cache_size=0.2,treshold=0.6] 0
LR_7_id[cache_size=0.2,treshold=0.7] 100
LR_7_id[cache_size=0.2,treshold=0.8] 100
LR_7_id[cache_size=0.2,treshold=0.9] 100
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 100
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 100
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_8[cache_size=0.2,treshold=0.3] 0
LR_8[cache_size=0.2,treshold=0.5] 0
LR_8[cache_size=0.2,treshold=0.6] 0
LR_8[cache_size=0.2,treshold=0.7] 0
LR_8[cache_size=0.2,treshold=0.8] 0
LR_8[cache_size=0.2,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_8_id[cache_size=0.2,treshold=0.3] 0
LR_8_id[cache_size=0.2,treshold=0.5] 0
LR_8_id[cache_size=0.2,treshold=0.6] 0
LR_8_id[cache_size=0.2,treshold=0.7] 100
LR_8_id[cache_size=0.2,treshold=0.8] 100
LR_8_id[cache_size=0.2,treshold=0.9] 100
LR_9[cache_size=0.2,treshold=0.3] 0
LR_9[cache_size=0.2,treshold=0.5] 0
LR_9[cache_size=0.2,treshold=0.6] 0
LR_9[cache_size=0.2,treshold=0.7] 0
LR_9[cache_size=0.2,treshold=0.8] 0
LR_9[cache_size=0.2,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_9_id[cache_size=0.2,treshold=0.3] 0
LR_9_id[cache_size=0.2,treshold=0.5] 0
LR_9_id[cache_size=0.2,treshold=0.6] 0
LR_9_id[cache_size=0.2,treshold=0.7] 100
LR_9_id[cache_size=0.2,treshold=0.8] 100
LR_9_id[cache_size=0.2,treshold=0.9] 100
LR_decay_rtime[cache_size=0.2,treshold=0.3] 0
LR_decay_rtime[cache_size=0.2,treshold=0.5] 0
LR_decay_rtime[cache_size=0.2,treshold=0.6] 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] 0
LR_decay_vtime[cache_size=0.2,treshold=0.5] 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0
LR_id[cache_size=0.2,treshold=0.3] 0
LR_id[cache_size=0.2,treshold=0.5] 100
LR_id[cache_size=0.2,treshold=0.6] 100
LR_id[cache_size=0.2,treshold=0.7] 100
LR_id[cache_size=0.2,treshold=0.8] 100
LR_id[cache_size=0.2,treshold=0.9] 100
LR_1[cache_size=0.4,treshold=0.5] 0
LR_1_log[cache_size=0.4,treshold=0.5] 0
LR_1_mean[cache_size=0.4,treshold=0.5] 0
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 0
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 0
LR_2[cache_size=0.4,treshold=0.5] 0
LR_2_log[cache_size=0.4,treshold=0.5] 0
LR_2_mean[cache_size=0.4,treshold=0.5] 0
LR_3[cache_size=0.4,treshold=0.5] 0
LR_3_log[cache_size=0.4,treshold=0.5] 0
LR_3_mean[cache_size=0.4,treshold=0.5] 0
LR_4[cache_size=0.4,treshold=0.5] 0
LR_4_log[cache_size=0.4,treshold=0.5] 0
LR_4_mean[cache_size=0.4,treshold=0.5] 0
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 0
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 0
LR_5[cache_size=0.4,treshold=0.5] 0
LR_5_imba[cache_size=0.4,treshold=0.5] 0
LR_6[cache_size=0.4,treshold=0.5] 0
LR_6_imba[cache_size=0.4,treshold=0.5] 0
LR_7[cache_size=0.4,treshold=0.3] 0
LR_7[cache_size=0.4,treshold=0.5] 0
LR_7[cache_size=0.4,treshold=0.6] 0
LR_7[cache_size=0.4,treshold=0.7] 0
LR_7[cache_size=0.4,treshold=0.8] 0
LR_7[cache_size=0.4,treshold=0.9] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_7_id[cache_size=0.4,treshold=0.3] 0
LR_7_id[cache_size=0.4,treshold=0.5] 0
LR_7_id[cache_size=0.4,treshold=0.6] 100
LR_7_id[cache_size=0.4,treshold=0.7] 100
LR_7_id[cache_size=0.4,treshold=0.8] 100
LR_7_id[cache_size=0.4,treshold=0.9] 100
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 20
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_8[cache_size=0.4,treshold=0.3] 0
LR_8[cache_size=0.4,treshold=0.5] 0
LR_8[cache_size=0.4,treshold=0.6] 0
LR_8[cache_size=0.4,treshold=0.7] 0
LR_8[cache_size=0.4,treshold=0.8] 0
LR_8[cache_size=0.4,treshold=0.9] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_8_id[cache_size=0.4,treshold=0.3] 0
LR_8_id[cache_size=0.4,treshold=0.5] 0
LR_8_id[cache_size=0.4,treshold=0.6] 100
LR_8_id[cache_size=0.4,treshold=0.7] 100
LR_8_id[cache_size=0.4,treshold=0.8] 100
LR_8_id[cache_size=0.4,treshold=0.9] 100
LR_9[cache_size=0.4,treshold=0.3] 0
LR_9[cache_size=0.4,treshold=0.5] 0
LR_9[cache_size=0.4,treshold=0.6] 0
LR_9[cache_size=0.4,treshold=0.7] 0
LR_9[cache_size=0.4,treshold=0.8] 0
LR_9[cache_size=0.4,treshold=0.9] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_9_id[cache_size=0.4,treshold=0.3] 0
LR_9_id[cache_size=0.4,treshold=0.5] 0
LR_9_id[cache_size=0.4,treshold=0.6] 100
LR_9_id[cache_size=0.4,treshold=0.7] 100
LR_9_id[cache_size=0.4,treshold=0.8] 100
LR_9_id[cache_size=0.4,treshold=0.9] 100
LR_decay_rtime[cache_size=0.4,treshold=0.3] 0
LR_decay_rtime[cache_size=0.4,treshold=0.5] 0
LR_decay_rtime[cache_size=0.4,treshold=0.6] 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] 0
LR_decay_vtime[cache_size=0.4,treshold=0.5] 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0
LR_id[cache_size=0.4,treshold=0.3] 0
LR_id[cache_size=0.4,treshold=0.5] 100
LR_id[cache_size=0.4,treshold=0.6] 100
LR_id[cache_size=0.4,treshold=0.7] 100
LR_id[cache_size=0.4,treshold=0.8] 100
LR_id[cache_size=0.4,treshold=0.9] 100
Offline Clock 1st iteration 0
Offline Clock 2nd iteration 100
Zipf Optimal Distribution 100

Promotion Reduced (%)

Model Max Min Avg Mdn
LR_1[cache_size=0.01,treshold=0.5] 54.1189 54.0982 54.1064 54.1065
LR_1_log[cache_size=0.01,treshold=0.5] 49.0082 48.9813 48.9945 48.9949
LR_1_mean[cache_size=0.01,treshold=0.5] 53.7278 53.2604 53.5578 53.6823
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 54.1265 54.103 54.1129 54.1133
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 54.1292 54.1063 54.116 54.1168
LR_2[cache_size=0.01,treshold=0.5] 45.8245 45.7926 45.8099 45.8127
LR_2_log[cache_size=0.01,treshold=0.5] 58.0402 57.9786 58.0084 58.0127
LR_2_mean[cache_size=0.01,treshold=0.5] 57.8796 57.8278 57.8543 57.8521
LR_3[cache_size=0.01,treshold=0.5] 45.633 45.6 45.6171 45.6197
LR_3_log[cache_size=0.01,treshold=0.5] 57.4241 57.3728 57.3967 57.4004
LR_3_mean[cache_size=0.01,treshold=0.5] 57.2164 57.1678 57.1952 57.1968
LR_4[cache_size=0.01,treshold=0.5] 53.9201 53.9058 53.912 53.9113
LR_4_log[cache_size=0.01,treshold=0.5] 50.1762 50.1481 50.163 50.164
LR_4_mean[cache_size=0.01,treshold=0.5] 54.3545 53.9765 54.2102 54.3158
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 53.9261 53.9111 53.9172 53.9157
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 53.9213 53.9068 53.9127 53.9113
LR_5[cache_size=0.01,treshold=0.5] 53.9286 53.9138 53.9211 53.9193
LR_5_imba[cache_size=0.01,treshold=0.5] 41.3928 41.358 41.3713 41.3662
LR_6[cache_size=0.01,treshold=0.5] 53.9196 53.9049 53.9117 53.9102
LR_6_imba[cache_size=0.01,treshold=0.5] 41.4103 41.3748 41.3892 41.384
LR_7[cache_size=0.01,treshold=0.3] 72.9112 72.8872 72.9017 72.9019
LR_7[cache_size=0.01,treshold=0.5] 58.0835 58.065 58.0713 58.0668
LR_7[cache_size=0.01,treshold=0.6] 46.1366 46.1098 46.1229 46.1218
LR_7[cache_size=0.01,treshold=0.7] 28.7011 28.6634 28.6839 28.6851
LR_7[cache_size=0.01,treshold=0.8] 6.88137 6.86902 6.87683 6.879
LR_7[cache_size=0.01,treshold=0.9] 1.34773 1.34061 1.34513 1.34701
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.8282 67.7813 67.7968 67.7885
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4884 56.4581 56.4771 56.4821
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3661 48.3242 48.3463 48.3529
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.3781 36.3493 36.366 36.3718
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3437 16.3183 16.3308 16.3313
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2435 54.2164 54.2332 54.2382
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2313 34.1913 34.2091 34.2059
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2426 20.2062 20.2199 20.2198
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.49576 3.47962 3.48513 3.48392
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3]60.864 60.8278 60.8435 60.8458
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]45.1582 45.1236 45.1456 45.1473
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6]33.7875 33.7483 33.7655 33.7628
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7]17.7241 17.7117 17.7185 17.7203
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2614 85.2307 85.2454 85.2447
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.6617 63.62 63.6488 63.656
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.2107 37.1812 37.1935 37.195
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0123591 0.0110348 0.0114865 0.0111867
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.00053652 0.000335257 0.000427203 0.000430919
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.7658 57.7157 57.7425 57.7425
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0.00120657 0.0009003 0.00106129 0.0011401
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0.000277841 0.000201154 0.000226053 0.000220247
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3]74.313 74.2862 74.2995 74.305
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]25.7027 25.6594 25.6791 25.6759
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0.00125507 0.000976922 0.00113026 0.00116827
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0.000277841 0.000210737 0.000233716 0.000220312
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.01,treshold=0.3] 70.4766 70.4548 70.4701 70.4748
LR_7_id[cache_size=0.01,treshold=0.5] 48.7371 48.712 48.7279 48.7291
LR_7_id[cache_size=0.01,treshold=0.6] 34.9871 34.9557 34.9701 34.9634
LR_7_id[cache_size=0.01,treshold=0.7] 22.9618 22.9286 22.9407 22.9334
LR_7_id[cache_size=0.01,treshold=0.8] 15.2199 15.1914 15.2063 15.2028
LR_7_id[cache_size=0.01,treshold=0.9] 9.87983 9.83756 9.85397 9.84721
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 55.4242 55.403 55.4171 55.4175
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 25.525 25.5074 25.516 25.5143
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 8.99214 8.96998 8.98099 8.98582
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 2.98432 2.96627 2.97332 2.97224
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 1.27474 1.26928 1.27208 1.27255
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.429829 0.427136 0.428901 0.429108
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 64.4934 64.4729 64.4842 64.4867
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 41.5705 41.5356 41.5571 41.5667
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 24.9419 24.9275 24.935 24.937
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 7.43222 7.41796 7.42725 7.42859
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 2.26341 2.25372 2.25761 2.2573
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.699119 0.694812 0.696044 0.695142
LR_8[cache_size=0.01,treshold=0.3] 72.8949 72.8688 72.8854 72.8871
LR_8[cache_size=0.01,treshold=0.5] 58.1436 58.1251 58.1344 58.1308
LR_8[cache_size=0.01,treshold=0.6] 46.3455 46.3178 46.3289 46.3244
LR_8[cache_size=0.01,treshold=0.7] 28.7541 28.7157 28.7362 28.7385
LR_8[cache_size=0.01,treshold=0.8] 6.72185 6.70669 6.71479 6.71621
LR_8[cache_size=0.01,treshold=0.9] 1.36124 1.35674 1.35946 1.35994
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.8117 67.764 67.7806 67.7732
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.4736 56.4458 56.463 56.4691
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.3509 48.3121 48.3326 48.339
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3647 36.3337 36.3519 36.3568
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.4056 16.3827 16.3942 16.3936
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2421 54.2154 54.232 54.2363
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2365 34.1957 34.2134 34.209
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2506 20.213 20.2268 20.2266
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.51122 3.49392 3.50028 3.49936
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3]60.8584 60.8218 60.8384 60.8414
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]45.1495 45.1174 45.139 45.1424
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6]33.7741 33.736 33.7523 33.7508
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7]17.7518 17.7347 17.7434 17.7432
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0577 86.0382 86.0477 86.0474
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6526 63.6064 63.6383 63.6434
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6564 36.6169 36.6326 36.6337
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.5762 57.5278 57.554 57.5526
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3]74.1675 74.1355 74.1503 74.1536
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]24.7571 24.7182 24.7302 24.7213
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.01,treshold=0.3] 70.5124 70.4844 70.5017 70.506
LR_8_id[cache_size=0.01,treshold=0.5] 48.757 48.7355 48.7494 48.753
LR_8_id[cache_size=0.01,treshold=0.6] 34.8832 34.855 34.8694 34.8663
LR_8_id[cache_size=0.01,treshold=0.7] 22.8956 22.8641 22.8741 22.8659
LR_8_id[cache_size=0.01,treshold=0.8] 15.2044 15.1773 15.1912 15.1877
LR_8_id[cache_size=0.01,treshold=0.9] 9.88358 9.84083 9.85818 9.85241
LR_9[cache_size=0.01,treshold=0.3] 72.8692 72.8397 72.8569 72.8571
LR_9[cache_size=0.01,treshold=0.5] 58.3317 58.3163 58.3231 58.3185
LR_9[cache_size=0.01,treshold=0.6] 46.592 46.5631 46.5781 46.5806
LR_9[cache_size=0.01,treshold=0.7] 28.6895 28.6544 28.6731 28.6736
LR_9[cache_size=0.01,treshold=0.8] 6.40022 6.38711 6.39412 6.39562
LR_9[cache_size=0.01,treshold=0.9] 1.35214 1.34658 1.34921 1.34993
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.8225 67.7773 67.7931 67.7856
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.4888 56.4576 56.476 56.4804
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.3555 48.3178 48.337 48.343
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3463 36.3114 36.3307 36.3352
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3956 16.3763 16.3862 16.3844
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2361 54.2072 54.2247 54.2296
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2111 34.1725 34.1891 34.1862
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2447 20.2062 20.2225 20.2228
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.46897 3.45307 3.45957 3.45973
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3]60.8445 60.8133 60.8274 60.8313
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5]45.1412 45.1099 45.1313 45.1346
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6]33.7629 33.7228 33.7411 33.7398
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7]17.7987 17.7811 17.7919 17.7907
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6303 86.6167 86.6239 86.6227
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.5077 64.469 64.4944 64.4977
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.5018 35.4628 35.4818 35.484
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 58.249 58.202 58.2256 58.2289
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3]75.428 75.3953 75.4157 75.4193
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5]23.0517 23.0227 23.0355 23.0339
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.01,treshold=0.3] 70.5873 70.5618 70.5777 70.5787
LR_9_id[cache_size=0.01,treshold=0.5] 48.7327 48.7094 48.7249 48.7273
LR_9_id[cache_size=0.01,treshold=0.6] 34.6955 34.6667 34.6808 34.6826
LR_9_id[cache_size=0.01,treshold=0.7] 22.7938 22.7599 22.7714 22.7619
LR_9_id[cache_size=0.01,treshold=0.8] 15.1863 15.1586 15.1723 15.1701
LR_9_id[cache_size=0.01,treshold=0.9] 9.89598 9.85221 9.86908 9.86369
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1648 83.1519 83.1572 83.1548
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.9045 63.8833 63.8961 63.8992
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9958 42.9828 42.9889 42.9862
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0626 21.0399 21.053 21.0563
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 53.491 53.4687 53.4817 53.4827
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 71.9372 71.9115 71.9242 71.9266
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 21.0626 21.0399 21.053 21.0563
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7381 88.7268 88.7324 88.7316
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9356 78.8953 78.9192 78.9232
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 76.2075 76.1658 76.1886 76.1883
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 83.7274 83.6894 83.7029 83.6977
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.01,treshold=0.3] 67.5719 67.5541 67.564 67.5634
LR_id[cache_size=0.01,treshold=0.5] 32.2969 32.2541 32.2723 32.2721
LR_id[cache_size=0.01,treshold=0.6] 25.2915 25.2496 25.2618 25.2535
LR_id[cache_size=0.01,treshold=0.7] 20.3677 20.3232 20.339 20.3359
LR_id[cache_size=0.01,treshold=0.8] 16.3995 16.3745 16.3887 16.3857
LR_id[cache_size=0.01,treshold=0.9] 12.6771 12.6399 12.6581 12.6583
LR_1[cache_size=0.1,treshold=0.5] 50.7059 50.6403 50.6794 50.6869
LR_1_log[cache_size=0.1,treshold=0.5] 50.5629 50.5054 50.5391 50.5473
LR_1_mean[cache_size=0.1,treshold=0.5] 56.2494 56.1883 56.2282 56.234
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 50.7024 50.6359 50.6755 50.6831
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 50.7033 50.6362 50.6762 50.6836
LR_2[cache_size=0.1,treshold=0.5] 45.2205 45.1853 45.2007 45.1962
LR_2_log[cache_size=0.1,treshold=0.5] 56.7584 56.7193 56.7391 56.7443
LR_2_mean[cache_size=0.1,treshold=0.5] 56.6635 56.6314 56.6459 56.6496
LR_3[cache_size=0.1,treshold=0.5] 45.2239 45.1878 45.2031 45.1982
LR_3_log[cache_size=0.1,treshold=0.5] 56.7069 56.6659 56.6872 56.6925
LR_3_mean[cache_size=0.1,treshold=0.5] 56.6137 56.58 56.5949 56.597
LR_4[cache_size=0.1,treshold=0.5] 51.9413 51.8676 51.912 51.9257
LR_4_log[cache_size=0.1,treshold=0.5] 51.481 51.4141 51.4539 51.467
LR_4_mean[cache_size=0.1,treshold=0.5] 57.5785 57.4779 57.538 57.5545
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 51.9373 51.8626 51.9079 51.9215
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 51.9459 51.8691 51.9152 51.9286
LR_5[cache_size=0.1,treshold=0.5] 51.958 51.8825 51.9285 51.9419
LR_5_imba[cache_size=0.1,treshold=0.5] 38.4618 38.3938 38.423 38.4113
LR_6[cache_size=0.1,treshold=0.5] 51.9456 51.8704 51.9155 51.9291
LR_6_imba[cache_size=0.1,treshold=0.5] 38.469 38.3999 38.4297 38.418
LR_7[cache_size=0.1,treshold=0.3] 73.4806 73.4522 73.4674 73.4736
LR_7[cache_size=0.1,treshold=0.5] 59.2362 59.1994 59.2233 59.2247
LR_7[cache_size=0.1,treshold=0.6] 47.8454 47.7884 47.822 47.8263
LR_7[cache_size=0.1,treshold=0.7] 30.4491 30.4138 30.4274 30.4225
LR_7[cache_size=0.1,treshold=0.8] 5.21053 5.17244 5.18877 5.18922
LR_7[cache_size=0.1,treshold=0.9] 0.000555101 0.000506297 0.000531545 0.000525669
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7924 75.7577 75.78 75.7855
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9465 63.9038 63.9266 63.9337
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9288 53.8688 53.9037 53.9124
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7885 29.7363 29.7606 29.7615
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.2267 63.1686 63.1959 63.1987
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5692 28.5202 28.538 28.5346
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0284907 0.0252565 0.0265186 0.0260401
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0661 70.0286 70.0453 70.0476
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 52.062 52.0046 52.041 52.054
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.3546 28.301 28.3194 28.3142
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 7.7862e-05 0 3.11469e-05 2.92038e-05
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.629 83.5877 83.6089 83.6057
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9918 59.9463 59.9715 59.9793
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7766 38.6998 38.7353 38.741
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.27606 1.24021 1.26179 1.26404
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 3.89545e-05 0 1.55786e-05 9.73649e-06
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.5434 58.4967 58.524 58.5267
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.926416 0.887802 0.904352 0.900935
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 3.89545e-05 0 1.75254e-05 9.73649e-06
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9182 72.8858 72.902 72.9004
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4926 34.4349 34.4566 34.4537
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00968408 0.0091523 0.00935943 0.00924195
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.1,treshold=0.3] 71.052 71.0291 71.0385 71.0297
LR_7_id[cache_size=0.1,treshold=0.5] 50.6339 50.555 50.601 50.6118
LR_7_id[cache_size=0.1,treshold=0.6] 36.9321 36.8687 36.896 36.8903
LR_7_id[cache_size=0.1,treshold=0.7] 23.5953 23.5246 23.5533 23.5441
LR_7_id[cache_size=0.1,treshold=0.8] 14.7947 14.7467 14.7701 14.7595
LR_7_id[cache_size=0.1,treshold=0.9] 9.05582 9.02544 9.03969 9.03634
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 58.2086 58.162 58.189 58.1923
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 29.9377 29.9018 29.9186 29.9179
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 11.2041 11.1792 11.1922 11.1894
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.0680096 0.0653948 0.0667291 0.0667113
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0.000953906 0.000905494 0.00092874 0.000925169
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0.000759446 0.000710563 0.00073988 0.000749874
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 66.4711 66.4393 66.4598 66.4702
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 45.5771 45.5347 45.5614 45.562
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 29.4669 29.4313 29.4509 29.4519
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 8.79403 8.77334 8.78646 8.78731
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0.00169452 0.00140205 0.00154402 0.00148926
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0.000759154 0.000681362 0.000720407 0.0007205
LR_8[cache_size=0.1,treshold=0.3] 73.4806 73.4536 73.4681 73.4754
LR_8[cache_size=0.1,treshold=0.5] 59.2181 59.1829 59.2057 59.2066
LR_8[cache_size=0.1,treshold=0.6] 47.8241 47.7686 47.8003 47.8032
LR_8[cache_size=0.1,treshold=0.7] 30.4397 30.4058 30.4185 30.4119
LR_8[cache_size=0.1,treshold=0.8] 5.23996 5.20562 5.2224 5.22281
LR_8[cache_size=0.1,treshold=0.9] 0.00056484 0.000535507 0.000551015 0.000545138
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7952 75.7602 75.7827 75.7877
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9446 63.9002 63.9235 63.9312
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9202 53.8608 53.8949 53.9047
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.8001 29.7536 29.7749 29.7767
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.2181 63.1602 63.1882 63.1913
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5571 28.5076 28.526 28.5238
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0287048 0.0256946 0.0269041 0.0264781
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.1041 70.0658 70.0844 70.087
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.9551 51.8869 51.9306 51.948
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.2463 28.193 28.212 28.2081
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00571312 0.00379806 0.00442746 0.00438992
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8626 83.835 83.8475 83.8441
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1868 60.1425 60.1657 60.1682
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6699 38.5923 38.629 38.6328
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.348555 0.302971 0.325305 0.322731
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.6902 58.6421 58.668 58.6733
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.212244 0.17482 0.193878 0.193242
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.8589 72.828 72.8436 72.8426
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.539 34.4772 34.5007 34.4972
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.0102972 0.00962939 0.00990655 0.00978241
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.1,treshold=0.3] 71.036 71.0119 71.0216 71.0133
LR_8_id[cache_size=0.1,treshold=0.5] 50.6249 50.5436 50.5903 50.6011
LR_8_id[cache_size=0.1,treshold=0.6] 36.9317 36.8697 36.8964 36.8919
LR_8_id[cache_size=0.1,treshold=0.7] 23.6 23.5286 23.5571 23.5474
LR_8_id[cache_size=0.1,treshold=0.8] 14.7962 14.7477 14.7713 14.7608
LR_8_id[cache_size=0.1,treshold=0.9] 9.05591 9.02577 9.04009 9.03697
LR_9[cache_size=0.1,treshold=0.3] 73.4937 73.4658 73.4809 73.4873
LR_9[cache_size=0.1,treshold=0.5] 59.2617 59.2255 59.249 59.2495
LR_9[cache_size=0.1,treshold=0.6] 47.8607 47.8043 47.8393 47.8454
LR_9[cache_size=0.1,treshold=0.7] 30.4301 30.3941 30.409 30.4056
LR_9[cache_size=0.1,treshold=0.8] 5.12955 5.09796 5.10997 5.11123
LR_9[cache_size=0.1,treshold=0.9] 0.000545034 0.000516034 0.000529597 0.000525669
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8057 75.7712 75.7945 75.8
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9373 63.8902 63.9144 63.9207
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8888 53.8284 53.8645 53.8731
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.795 29.7477 29.7683 29.7692
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.0011589 0.00074971 0.00100663 0.00109018
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.2133 63.1545 63.1829 63.1871
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.543 28.4933 28.5112 28.5068
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0387013 0.034438 0.0362304 0.0360764
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0.000233631 0.000146047 0.0001986 0.000214142
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.112 70.0761 70.0929 70.0941
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.9016 51.8346 51.8748 51.8849
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.2028 28.1436 28.1652 28.1618
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00971514 0.00772104 0.0089115 0.00941253
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9784 83.9536 83.9649 83.9617
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2505 60.2055 60.2296 60.2324
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5841 38.5032 38.5403 38.5437
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0323517 0.0284586 0.0300374 0.0296905
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.7956 58.7424 58.7694 58.7759
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.0281544 0.0252565 0.0264548 0.0265709
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9787 72.9474 72.9631 72.9625
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4379 34.3807 34.4015 34.397
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00916825 0.00848782 0.00880064 0.0087258
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.1,treshold=0.3] 71.0591 71.0348 71.0446 71.0358
LR_9_id[cache_size=0.1,treshold=0.5] 50.6152 50.539 50.5837 50.5947
LR_9_id[cache_size=0.1,treshold=0.6] 36.8939 36.8324 36.8594 36.8537
LR_9_id[cache_size=0.1,treshold=0.7] 23.571 23.5006 23.5296 23.5205
LR_9_id[cache_size=0.1,treshold=0.8] 14.7934 14.7459 14.7686 14.7578
LR_9_id[cache_size=0.1,treshold=0.9] 9.06045 9.02917 9.04395 9.0408
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3511 78.3288 78.3419 78.341
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2431 62.1872 62.2175 62.2269
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6731 47.6203 47.6407 47.6343
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1949 23.1637 23.1836 23.1838
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 61.2032 61.1443 61.1787 61.1887
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 19.9354 19.8855 19.9158 19.9197
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 72.4953 72.4485 72.4722 72.4755
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 44.4933 44.4514 44.4708 44.4691
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 20.1059 20.0742 20.0878 20.085
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1198 98.1126 98.1156 98.1159
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9061 95.8976 95.9029 95.9036
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 94.891 94.8782 94.8854 94.8888
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 97.4697 97.4579 97.4629 97.464
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.1,treshold=0.3] 68.758 68.7426 68.7498 68.7494
LR_id[cache_size=0.1,treshold=0.5] 33.0657 33.0085 33.037 33.0343
LR_id[cache_size=0.1,treshold=0.6] 25.5799 25.5051 25.5405 25.5375
LR_id[cache_size=0.1,treshold=0.7] 20.2831 20.2259 20.2532 20.2478
LR_id[cache_size=0.1,treshold=0.8] 16.021 15.9748 15.9931 15.9815
LR_id[cache_size=0.1,treshold=0.9] 12.004 11.9661 11.988 11.9846
LR_1[cache_size=0.2,treshold=0.5] 48.9285 48.8866 48.9053 48.9058
LR_1_log[cache_size=0.2,treshold=0.5] 51.6398 51.583 51.6184 51.6212
LR_1_mean[cache_size=0.2,treshold=0.5] 56.1303 56.1189 56.1236 56.1234
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 48.9361 48.8951 48.9127 48.9129
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 48.915 48.8762 48.8935 48.8944
LR_2[cache_size=0.2,treshold=0.5] 45.075 45.026 45.0504 45.0499
LR_2_log[cache_size=0.2,treshold=0.5] 56.0714 56.0589 56.0675 56.07
LR_2_mean[cache_size=0.2,treshold=0.5] 56.1735 56.1604 56.1658 56.1638
LR_3[cache_size=0.2,treshold=0.5] 45.0802 45.0312 45.0553 45.0549
LR_3_log[cache_size=0.2,treshold=0.5] 56.0529 56.0376 56.0471 56.0493
LR_3_mean[cache_size=0.2,treshold=0.5] 56.151 56.1385 56.1437 56.142
LR_4[cache_size=0.2,treshold=0.5] 49.6087 49.5556 49.5781 49.5801
LR_4_log[cache_size=0.2,treshold=0.5] 52.3529 52.3202 52.3315 52.3282
LR_4_mean[cache_size=0.2,treshold=0.5] 57.2244 57.196 57.2055 57.2024
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 49.6061 49.5576 49.5778 49.579
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 49.5937 49.5449 49.5646 49.5642
LR_5[cache_size=0.2,treshold=0.5] 49.5957 49.5459 49.5672 49.5682
LR_5_imba[cache_size=0.2,treshold=0.5] 35.6025 35.5926 35.5958 35.5945
LR_6[cache_size=0.2,treshold=0.5] 49.606 49.5576 49.5778 49.5788
LR_6_imba[cache_size=0.2,treshold=0.5] 35.6277 35.62 35.6239 35.6227
LR_7[cache_size=0.2,treshold=0.3] 73.8603 73.8424 73.8544 73.856
LR_7[cache_size=0.2,treshold=0.5] 59.3858 59.3529 59.3682 59.3645
LR_7[cache_size=0.2,treshold=0.6] 47.7083 47.6877 47.7012 47.7035
LR_7[cache_size=0.2,treshold=0.7] 29.8396 29.8127 29.8321 29.8348
LR_7[cache_size=0.2,treshold=0.8] 4.69871 4.62173 4.65984 4.66176
LR_7[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2642 81.246 81.2538 81.2525
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8995 66.8546 66.875 66.8721
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4722 56.4611 56.4676 56.4672
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00734788 0.00627782 0.00680156 0.00681926
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000399983 0.000219937 0.000315886 0.000319889
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8205 65.7842 65.8017 65.7992
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.000849965 0.000619349 0.000711758 0.000679926
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1319 73.1152 73.1232 73.1218
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.6677 53.6658 53.6668 53.6674
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0.00238931 0.0017194 0.00206727 0.00211991
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5892 82.5715 82.5787 82.5759
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.8093 59.7863 59.7971 59.7959
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6949 39.6482 39.6709 39.6686
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.14884 4.11541 4.13316 4.13037
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3578 58.3373 58.3465 58.3439
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.55626 4.52937 4.54327 4.54304
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6187 71.6027 71.6098 71.6096
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.9216 35.8698 35.8926 35.8913
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 3.2357 3.13582 3.18307 3.17679
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0.000139994 5.99827e-05 8.99711e-05 7.99722e-05
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 4.99475e-05 9.99959e-06 2.99851e-05 2.99968e-05
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 1.99942e-05 0 3.99885e-06 0
LR_7_id[cache_size=0.2,treshold=0.3] 71.1121 71.0744 71.0982 71.0998
LR_7_id[cache_size=0.2,treshold=0.5] 51.5244 51.498 51.5158 51.5201
LR_7_id[cache_size=0.2,treshold=0.6] 38.1725 38.1474 38.1612 38.1593
LR_7_id[cache_size=0.2,treshold=0.7] 24.311 24.27 24.2932 24.2965
LR_7_id[cache_size=0.2,treshold=0.8] 14.6551 14.6253 14.6428 14.6523
LR_7_id[cache_size=0.2,treshold=0.9] 8.25004 8.21126 8.22748 8.22647
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 58.2102 58.1745 58.1917 58.1928
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 29.2068 29.1773 29.1976 29.2006
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 10.4566 10.3949 10.4257 10.4256
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 66.7312 66.7046 66.7151 66.7107
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 45.2877 45.2688 45.2752 45.2721
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 28.803 28.7651 28.7917 28.7981
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 8.03817 7.99152 8.01782 8.02019
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8[cache_size=0.2,treshold=0.3] 73.8387 73.8212 73.8336 73.836
LR_8[cache_size=0.2,treshold=0.5] 59.3779 59.3451 59.3604 59.3574
LR_8[cache_size=0.2,treshold=0.6] 47.7311 47.7086 47.7239 47.728
LR_8[cache_size=0.2,treshold=0.7] 29.917 29.8913 29.9089 29.9112
LR_8[cache_size=0.2,treshold=0.8] 4.83334 4.74239 4.79185 4.79728
LR_8[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3732 81.3563 81.3634 81.3625
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.9198 66.8755 66.8963 66.895
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5253 56.5156 56.52 56.5185
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.823 65.7874 65.8041 65.8017
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1447 73.1277 73.1355 73.1327
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.7185 53.7152 53.7165 53.7159
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5519 82.5307 82.5397 82.5381
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.8017 59.7802 59.7899 59.7881
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7323 39.6844 39.7078 39.7041
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.31487 4.28765 4.30283 4.30227
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3326 58.3115 58.3211 58.3199
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.62462 4.59773 4.61148 4.61077
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7434 71.7241 71.734 71.7357
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8916 35.8429 35.8637 35.8626
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.88387 2.81985 2.85476 2.85546
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.2,treshold=0.3] 71.118 71.0804 71.1035 71.1053
LR_8_id[cache_size=0.2,treshold=0.5] 51.5361 51.5086 51.5261 51.5302
LR_8_id[cache_size=0.2,treshold=0.6] 38.184 38.1598 38.1722 38.1677
LR_8_id[cache_size=0.2,treshold=0.7] 24.309 24.2677 24.2912 24.2952
LR_8_id[cache_size=0.2,treshold=0.8] 14.6441 14.6149 14.6324 14.6425
LR_8_id[cache_size=0.2,treshold=0.9] 8.23822 8.19965 8.21593 8.21468
LR_9[cache_size=0.2,treshold=0.3] 73.8693 73.8515 73.8635 73.8653
LR_9[cache_size=0.2,treshold=0.5] 59.4066 59.3738 59.3893 59.3861
LR_9[cache_size=0.2,treshold=0.6] 47.7398 47.7164 47.7314 47.7346
LR_9[cache_size=0.2,treshold=0.7] 29.8617 29.8352 29.8537 29.8565
LR_9[cache_size=0.2,treshold=0.8] 4.70314 4.62542 4.6636 4.66471
LR_9[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1785 81.1599 81.1692 81.1711
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8726 66.8309 66.851 66.8496
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4336 56.4218 56.4292 56.4299
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0129086 0.0117876 0.0124336 0.0125295
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00326906 0.00245915 0.00298893 0.00311966
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000199992 8.99741e-05 0.000145953 0.000129955
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7836 65.7456 65.7632 65.7604
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.00414881 0.00309892 0.00359077 0.00361985
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0.00102996 0.000769732 0.000897685 0.000899741
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0.000149994 4.99475e-05 7.79792e-05 6.99798e-05
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6973 71.6539 71.6778 71.6811
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 47.907 47.8637 47.8889 47.8873
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 27.7058 27.6649 27.685 27.6868
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6194 82.6005 82.6088 82.6057
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8153 59.7931 59.8038 59.803
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6478 39.5967 39.622 39.6175
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.96527 3.93742 3.95124 3.95278
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3706 58.3493 58.359 58.3555
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.43623 4.41164 4.42373 4.42291
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.787 71.7699 71.7799 71.7831
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8676 35.8206 35.8401 35.8388
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.69928 2.63889 2.67296 2.6757
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.2,treshold=0.3] 71.1289 71.0906 71.1144 71.1161
LR_9_id[cache_size=0.2,treshold=0.5] 51.5331 51.5055 51.524 51.5294
LR_9_id[cache_size=0.2,treshold=0.6] 38.1695 38.1446 38.1582 38.1561
LR_9_id[cache_size=0.2,treshold=0.7] 24.2964 24.2559 24.279 24.2824
LR_9_id[cache_size=0.2,treshold=0.8] 14.642 14.6145 14.631 14.6409
LR_9_id[cache_size=0.2,treshold=0.9] 8.24034 8.20171 8.21821 8.21678
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7827 79.773 79.7775 79.7776
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5598 65.5148 65.5391 65.5437
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.044 53.0295 53.0372 53.0391
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 64.5376 64.4798 64.5076 64.5048
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 72.6257 72.608 72.6152 72.6135
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 49.8896 49.8702 49.879 49.8794
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.985 98.9794 98.9816 98.9811
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8342 97.8299 97.8322 97.8322
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 98.7195 98.7139 98.7164 98.7165
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.2,treshold=0.3] 68.983 68.9583 68.9711 68.9722
LR_id[cache_size=0.2,treshold=0.5] 34.0538 34.0322 34.0401 34.0395
LR_id[cache_size=0.2,treshold=0.6] 26.0483 26.0218 26.038 26.0415
LR_id[cache_size=0.2,treshold=0.7] 20.3334 20.2822 20.3176 20.3307
LR_id[cache_size=0.2,treshold=0.8] 15.6345 15.5894 15.6163 15.6231
LR_id[cache_size=0.2,treshold=0.9] 11.2516 11.2083 11.2311 11.2324
LR_1[cache_size=0.4,treshold=0.5] 47.679 47.6248 47.6513 47.6471
LR_1_log[cache_size=0.4,treshold=0.5] 53.6004 53.5133 53.5535 53.5565
LR_1_mean[cache_size=0.4,treshold=0.5] 56.1774 56.1442 56.1597 56.1563
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 47.6793 47.6217 47.6501 47.6458
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 47.6618 47.6099 47.6353 47.63
LR_2[cache_size=0.4,treshold=0.5] 52.7435 52.6838 52.7129 52.7113
LR_2_log[cache_size=0.4,treshold=0.5] 55.5793 55.5449 55.5696 55.5757
LR_2_mean[cache_size=0.4,treshold=0.5] 56.1826 56.1433 56.1618 56.157
LR_3[cache_size=0.4,treshold=0.5] 45.4591 45.3881 45.4196 45.421
LR_3_log[cache_size=0.4,treshold=0.5] 55.5817 55.5481 55.5725 55.579
LR_3_mean[cache_size=0.4,treshold=0.5] 56.1745 56.1366 56.1545 56.1498
LR_4[cache_size=0.4,treshold=0.5] 49.0559 48.9897 49.0205 49.0172
LR_4_log[cache_size=0.4,treshold=0.5] 53.8212 53.7175 53.7639 53.7702
LR_4_mean[cache_size=0.4,treshold=0.5] 57.2367 57.1551 57.1941 57.1944
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 47.7227 47.6629 47.6895 47.6836
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 47.6924 47.6328 47.6584 47.6522
LR_5[cache_size=0.4,treshold=0.5] 47.7061 47.6488 47.6741 47.6681
LR_5_imba[cache_size=0.4,treshold=0.5] 30.4881 30.3955 30.4244 30.4108
LR_6[cache_size=0.4,treshold=0.5] 47.7233 47.6627 47.6897 47.6849
LR_6_imba[cache_size=0.4,treshold=0.5] 30.6833 30.5817 30.6156 30.6029
LR_7[cache_size=0.4,treshold=0.3] 74.2504 74.2035 74.2236 74.2211
LR_7[cache_size=0.4,treshold=0.5] 59.5458 59.4938 59.514 59.5067
LR_7[cache_size=0.4,treshold=0.6] 47.1282 47.0439 47.084 47.0885
LR_7[cache_size=0.4,treshold=0.7] 29.0067 28.8549 28.9199 28.9118
LR_7[cache_size=0.4,treshold=0.8] 6.85173 6.80302 6.83317 6.84329
LR_7[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6364 80.5942 80.6168 80.6126
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6696 59.6298 59.6494 59.6452
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2799 41.1786 41.2212 41.2187
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.14622 9.07493 9.09984 9.09161
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4721 54.4275 54.4431 54.4419
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.95425 3.8717 3.90405 3.90182
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5555 67.5393 67.5453 67.5409
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8461 32.7577 32.7894 32.7867
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.20708 1.13725 1.16519 1.16108
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4395 80.4036 80.4236 80.4182
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.3149 59.2213 59.2666 59.2741
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.1381 41.0351 41.0759 41.0723
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.73816 9.67011 9.68884 9.68025
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4797 54.436 54.451 54.4495
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.99379 3.90988 3.94366 3.9441
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5177 67.5005 67.5073 67.5015
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8409 32.7518 32.7837 32.7803
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.27854 1.21032 1.23588 1.232
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.4,treshold=0.3] 71.3111 71.2973 71.3027 71.3027
LR_7_id[cache_size=0.4,treshold=0.5] 53.8065 53.751 53.7721 53.7617
LR_7_id[cache_size=0.4,treshold=0.6] 41.44 41.3888 41.4208 41.4243
LR_7_id[cache_size=0.4,treshold=0.7] 26.7325 26.6742 26.701 26.695
LR_7_id[cache_size=0.4,treshold=0.8] 14.4256 14.3884 14.4066 14.4071
LR_7_id[cache_size=0.4,treshold=0.9] 6.02938 5.98226 6.00012 6.00029
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 55.7618 55.6841 55.7177 55.7096
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 23.8235 23.7126 23.7677 23.7731
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 7.55555 7.52466 7.54661 7.55269
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.00235913 0.00129949 0.00168828 0.00139621
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 65.3397 65.3061 65.3203 65.3204
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 40.9881 40.9229 40.9505 40.954
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 23.4619 23.3617 23.4114 23.4125
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 6.06344 5.99027 6.02358 6.02036
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8[cache_size=0.4,treshold=0.3] 74.2465 74.1996 74.2199 74.2175
LR_8[cache_size=0.4,treshold=0.5] 59.5418 59.49 59.5097 59.5021
LR_8[cache_size=0.4,treshold=0.6] 47.1254 47.0407 47.0807 47.0844
LR_8[cache_size=0.4,treshold=0.7] 29.01 28.8569 28.9221 28.9133
LR_8[cache_size=0.4,treshold=0.8] 6.8552 6.80659 6.83671 6.84693
LR_8[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6287 80.5871 80.6099 80.6074
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6621 59.6227 59.6426 59.6394
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.283 41.1815 41.2248 41.2225
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.16032 9.09081 9.11483 9.10767
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4732 54.4286 54.4443 54.4433
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.97674 3.89142 3.9258 3.92493
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5519 67.5344 67.5412 67.5369
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8346 32.7455 32.7772 32.7728
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.19318 1.12246 1.15034 1.14557
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4316 80.3961 80.4157 80.4101
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2998 59.2023 59.2485 59.2557
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.1176 41.0138 41.0557 41.0527
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.71146 9.6443 9.66265 9.65421
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4732 54.4286 54.4443 54.4433
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.97674 3.89142 3.9258 3.92493
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5117 67.4935 67.5003 67.4942
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8466 32.7582 32.7899 32.7871
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.30925 1.24089 1.2663 1.26079
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.4,treshold=0.3] 71.3049 71.2909 71.2963 71.2965
LR_8_id[cache_size=0.4,treshold=0.5] 53.79 53.7342 53.7552 53.7448
LR_8_id[cache_size=0.4,treshold=0.6] 41.4184 41.3656 41.3991 41.4021
LR_8_id[cache_size=0.4,treshold=0.7] 26.7141 26.6554 26.6826 26.6763
LR_8_id[cache_size=0.4,treshold=0.8] 14.4185 14.3823 14.4004 14.4011
LR_8_id[cache_size=0.4,treshold=0.9] 6.02859 5.98124 5.99889 5.99871
LR_9[cache_size=0.4,treshold=0.3] 74.2536 74.2062 74.2265 74.2239
LR_9[cache_size=0.4,treshold=0.5] 59.5489 59.4975 59.517 59.5096
LR_9[cache_size=0.4,treshold=0.6] 47.1293 47.0449 47.0854 47.09
LR_9[cache_size=0.4,treshold=0.7] 29.0014 28.849 28.9149 28.9077
LR_9[cache_size=0.4,treshold=0.8] 6.845 6.79686 6.82601 6.83324
LR_9[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6459 80.6046 80.6267 80.6239
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.676 59.6376 59.6559 59.6513
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2734 41.1719 41.2153 41.2133
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.10534 9.03608 9.05942 9.05079
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4746 54.4303 54.4459 54.445
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.93198 3.85022 3.88232 3.87906
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5552 67.5382 67.5444 67.5399
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8167 32.7269 32.7589 32.7553
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.13514 1.06181 1.09055 1.08333
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4505 80.4124 80.4333 80.4278
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.3114 59.2161 59.2623 59.2698
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.1118 41.0056 41.0488 41.0456
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.65327 9.59034 9.60868 9.60011
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4825 54.4386 54.4539 54.4519
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9347 3.85215 3.88473 3.88183
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5249 67.5064 67.5136 67.5077
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.8334 32.7449 32.7763 32.7715
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.24975 1.17907 1.20582 1.19918
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.4,treshold=0.3] 71.3107 71.2961 71.3018 71.3016
LR_9_id[cache_size=0.4,treshold=0.5] 53.7912 53.7356 53.7563 53.7463
LR_9_id[cache_size=0.4,treshold=0.6] 41.4151 41.361 41.3953 41.399
LR_9_id[cache_size=0.4,treshold=0.7] 26.7097 26.6505 26.6774 26.6702
LR_9_id[cache_size=0.4,treshold=0.8] 14.4176 14.381 14.3994 14.4004
LR_9_id[cache_size=0.4,treshold=0.9] 6.02887 5.98173 5.9994 5.99905
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2779 86.2688 86.2733 86.2719
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4655 77.4274 77.4485 77.4519
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4765 56.4193 56.4422 56.4435
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 74.6069 74.5577 74.5913 74.598
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 81.0729 81.0331 81.0526 81.0465
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6132 99.606 99.6094 99.6089
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0597 99.0545 99.0562 99.0554
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 99.4498 99.4461 99.4481 99.4481
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.4,treshold=0.3] 69.7399 69.7104 69.7274 69.7299
LR_id[cache_size=0.4,treshold=0.5] 37.7798 37.6454 37.6943 37.674
LR_id[cache_size=0.4,treshold=0.6] 28.361 28.2634 28.3126 28.314
LR_id[cache_size=0.4,treshold=0.7] 21.2947 21.2503 21.2656 21.2584
LR_id[cache_size=0.4,treshold=0.8] 15.1951 15.1541 15.1738 15.1759
LR_id[cache_size=0.4,treshold=0.9] 9.50518 9.49095 9.49727 9.4979
Offline Clock 1st iteration 0 0 0 0
Offline Clock 2nd iteration 43.4673 41.4753 42.6567 43.0175
Zipf Optimal Distribution 17.0869 6.59027 12.1282 13.1121

Miss Ratio Reduced (%)

Model Max Min Avg Mdn
LR_1[cache_size=0.01,treshold=0.5] -3.30088 -3.31167 -3.30621 -3.30691
LR_1_log[cache_size=0.01,treshold=0.5] -2.8345 -2.84422 -2.83928 -2.83929
LR_1_mean[cache_size=0.01,treshold=0.5] -3.99662 -4.04962 -4.03214 -4.04288
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] -3.30112 -3.31241 -3.3066 -3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5] -3.30186 -3.31291 -3.30715 -3.30741
LR_2[cache_size=0.01,treshold=0.5] -3.71197 -3.72137 -3.71727 -3.71805
LR_2_log[cache_size=0.01,treshold=0.5] -4.91393 -4.93098 -4.92148 -4.92004
LR_2_mean[cache_size=0.01,treshold=0.5] -4.94058 -4.95591 -4.94764 -4.94669
LR_3[cache_size=0.01,treshold=0.5] -3.69174 -3.70039 -3.69644 -3.69733
LR_3_log[cache_size=0.01,treshold=0.5] -4.84509 -4.8599 -4.85106 -4.8497
LR_3_mean[cache_size=0.01,treshold=0.5] -4.86976 -4.88507 -4.87697 -4.87562
LR_4[cache_size=0.01,treshold=0.5] -3.15258 -3.16482 -3.15825 -3.15861
LR_4_log[cache_size=0.01,treshold=0.5] -2.88879 -2.90074 -2.89451 -2.89383
LR_4_mean[cache_size=0.01,treshold=0.5] -3.86831 -3.9122 -3.89573 -3.90247
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] -3.15307 -3.16556 -3.15884 -3.15935
LR_4_std_scaler[cache_size=0.01,treshold=0.5] -3.15258 -3.16507 -3.15835 -3.15885
LR_5[cache_size=0.01,treshold=0.5] -3.15356 -3.16581 -3.15929 -3.15935
LR_5_imba[cache_size=0.01,treshold=0.5] -2.01749 -2.02827 -2.02273 -2.02151
LR_6[cache_size=0.01,treshold=0.5] -3.15258 -3.16482 -3.15825 -3.15861
LR_6_imba[cache_size=0.01,treshold=0.5] -2.01872 -2.02975 -2.02407 -2.02295
LR_7[cache_size=0.01,treshold=0.3] -5.65544 -5.67042 -5.65936 -5.65663
LR_7[cache_size=0.01,treshold=0.5] -3.68557 -3.70064 -3.69388 -3.69557
LR_7[cache_size=0.01,treshold=0.6] -2.43525 -2.44784 -2.44125 -2.44002
LR_7[cache_size=0.01,treshold=0.7] -1.01491 -1.02179 -1.01845 -1.0189
LR_7[cache_size=0.01,treshold=0.8] 0.0698421 0.0666382 0.0684527 0.0693389
LR_7[cache_size=0.01,treshold=0.9] 0.0352876 0.0328255 0.0341523 0.0340449
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] -4.58077 -4.59878 -4.58505 -4.58171
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] -3.0176 -3.03426 -3.02322 -3.02186
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] -2.08708 -2.09713 -2.09183 -2.0911
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] -1.00321 -1.01315 -1.00922 -1.011
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] -0.0120911 -0.020723 -0.0158914 -0.0153021
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] -2.73975 -2.75487 -2.74516 -2.74334
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] -0.832428 -0.841616 -0.837077 -0.838541
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] -0.0974827 -0.102628 -0.100187 -0.100434
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0.0745208 0.0725304 0.0737828 0.0737956
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] -3.58218 -3.59772 -3.58639 -3.58329
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] -1.75765 -1.76887 -1.76279 -1.76166
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] -0.807009 -0.815701 -0.811759 -0.813588
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] -0.032572 -0.0397191 -0.0357807 -0.0362808
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] -8.4021 -8.41912 -8.40882 -8.40943
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] -5.59918 -5.61415 -5.60567 -5.60483
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] -2.8999 -2.91011 -2.90359 -2.90345
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] -0.00123396 -0.0017273 -0.00152992 -0.00148085
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0 -0.000246758 -4.93515e-05 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] -4.9354 -4.95097 -4.94202 -4.93997
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 -0.000246808 -0.000148054 -0.000246702
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] -6.90033 -6.91705 -6.90691 -6.90569
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] -1.90768 -1.91523 -1.91144 -1.90972
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 -0.000246808 -0.000197407 -0.000246758
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.01,treshold=0.3] -5.16407 -5.17828 -5.168 -5.16634
LR_7_id[cache_size=0.01,treshold=0.5] -2.30003 -2.31383 -2.30651 -2.30677
LR_7_id[cache_size=0.01,treshold=0.6] -0.941757 -0.951445 -0.945456 -0.944868
LR_7_id[cache_size=0.01,treshold=0.7] -0.128825 -0.134453 -0.130687 -0.130068
LR_7_id[cache_size=0.01,treshold=0.8] 0.135735 0.130012 0.133204 0.133523
LR_7_id[cache_size=0.01,treshold=0.9] 0.19001 0.18774 0.188923 0.188808
LR_7_w_0_5[cache_size=0.01,treshold=0.3] -3.37614 -3.39188 -3.38429 -3.38525
LR_7_w_0_5[cache_size=0.01,treshold=0.5] -0.793682 -0.799412 -0.796607 -0.797055
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 0.0241856 0.0214631 0.0232454 0.0236887
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 0.0678677 0.0651574 0.0661331 0.066131
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 0.0333134 0.0313446 0.0323756 0.0320785
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.0111064 0.0101171 0.0106603 0.0106082
LR_7_w_0_75[cache_size=0.01,treshold=0.3] -4.46582 -4.48105 -4.47287 -4.47239
LR_7_w_0_75[cache_size=0.01,treshold=0.5] -2.01354 -2.02284 -2.01676 -2.01481
LR_7_w_0_75[cache_size=0.01,treshold=0.6] -0.760859 -0.766833 -0.763343 -0.762754
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 0.0629232 0.060442 0.0618887 0.0626786
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 0.0540474 0.0518297 0.0531039 0.0530529
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.0185075 0.017273 0.0179151 0.0177702
LR_8[cache_size=0.01,treshold=0.3] -5.65494 -5.67042 -5.65912 -5.65639
LR_8[cache_size=0.01,treshold=0.5] -3.6952 -3.71076 -3.7035 -3.70497
LR_8[cache_size=0.01,treshold=0.6] -2.44932 -2.46166 -2.45566 -2.45458
LR_8[cache_size=0.01,treshold=0.7] -1.01111 -1.01808 -1.0144 -1.01446
LR_8[cache_size=0.01,treshold=0.8] 0.0767522 0.0742574 0.0754115 0.0752611
LR_8[cache_size=0.01,treshold=0.9] 0.0357811 0.0335659 0.0346951 0.034785
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] -4.5783 -4.59631 -4.58258 -4.57924
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] -3.01562 -3.03228 -3.02129 -3.01974
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] -2.08535 -2.09515 -2.09025 -2.08986
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] -1.00173 -1.01167 -1.00769 -1.00952
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] -0.00863652 -0.0180093 -0.0130289 -0.012834
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] -2.73975 -2.75487 -2.74502 -2.74309
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] -0.833169 -0.842109 -0.837669 -0.838788
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] -0.0977295 -0.103368 -0.100828 -0.101174
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0.0747676 0.0725304 0.0738815 0.0737956
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] -3.58144 -3.59698 -3.58579 -3.58267
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] -1.75741 -1.76789 -1.7621 -1.76092
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] -0.806269 -0.814467 -0.810574 -0.812107
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] -0.030849 -0.0379921 -0.0341521 -0.0345531
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] -8.52449 -8.54104 -8.53082 -8.52986
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] -5.59696 -5.61168 -5.60354 -5.60267
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] -2.84684 -2.85853 -2.85122 -2.8504
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] -4.91418 -4.92876 -4.9206 -4.91801
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] -6.88824 -6.9052 -6.89457 -6.89317
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] -1.82897 -1.83719 -1.83272 -1.83169
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.01,treshold=0.3] -5.17179 -5.18643 -5.17555 -5.17349
LR_8_id[cache_size=0.01,treshold=0.5] -2.29953 -2.31309 -2.30582 -2.30578
LR_8_id[cache_size=0.01,treshold=0.6] -0.927196 -0.937131 -0.931193 -0.931295
LR_8_id[cache_size=0.01,treshold=0.7] -0.123379 -0.129025 -0.125406 -0.125379
LR_8_id[cache_size=0.01,treshold=0.8] 0.136723 0.130752 0.134043 0.13451
LR_8_id[cache_size=0.01,treshold=0.9] 0.19003 0.18774 0.188973 0.189055
LR_9[cache_size=0.01,treshold=0.3] -5.6581 -5.67239 -5.66163 -5.65865
LR_9[cache_size=0.01,treshold=0.5] -3.71543 -3.73001 -3.72275 -3.72372
LR_9[cache_size=0.01,treshold=0.6] -2.46486 -2.47598 -2.47012 -2.46815
LR_9[cache_size=0.01,treshold=0.7] -0.994186 -1.00229 -0.998066 -0.998416
LR_9[cache_size=0.01,treshold=0.8] 0.0846408 0.0816584 0.0833573 0.0836508
LR_9[cache_size=0.01,treshold=0.9] 0.0357811 0.0335659 0.0346458 0.0345383
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] -4.58052 -4.59779 -4.58455 -4.58121
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] -3.01686 -3.03401 -3.02258 -3.02112
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] -2.08535 -2.0954 -2.0901 -2.08937
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] -0.998766 -1.0087 -1.00483 -1.00631
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] -0.000493515 -0.00962139 -0.00458954 -0.00444255
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] -2.73876 -2.75364 -2.74403 -2.7421
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] -0.830948 -0.839888 -0.835497 -0.837031
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] -0.0952616 -0.100901 -0.0982123 -0.0984765
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0.0752611 0.0735173 0.0745725 0.0747779
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] -3.57996 -3.59501 -3.58441 -3.58181
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] -1.75642 -1.7669 -1.76111 -1.75994
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] -0.804541 -0.812986 -0.809192 -0.810874
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] -0.0278836 -0.0342916 -0.0307961 -0.0310978
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] -8.61998 -8.6336 -8.62434 -8.62364
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] -5.69689 -5.71065 -5.70205 -5.70079
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] -2.74345 -2.75463 -2.74842 -2.74799
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] -4.98771 -5.00157 -4.99334 -4.99062
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] -7.05011 -7.06291 -7.05428 -7.05223
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] -1.69226 -1.69854 -1.69542 -1.69454
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.01,treshold=0.3] -5.18586 -5.20025 -5.18947 -5.18756
LR_9_id[cache_size=0.01,treshold=0.5] -2.28991 -2.30321 -2.29645 -2.29665
LR_9_id[cache_size=0.01,treshold=0.6] -0.90227 -0.911463 -0.905974 -0.906372
LR_9_id[cache_size=0.01,treshold=0.7] -0.115483 -0.121131 -0.117361 -0.116987
LR_9_id[cache_size=0.01,treshold=0.8] 0.137463 0.131492 0.134931 0.135744
LR_9_id[cache_size=0.01,treshold=0.9] 0.19003 0.187987 0.189072 0.189055
LR_decay_rtime[cache_size=0.01,treshold=0.3] -7.43061 -7.44472 -7.43415 -7.43189
LR_decay_rtime[cache_size=0.01,treshold=0.5] -5.40769 -5.41917 -5.41131 -5.40919
LR_decay_rtime[cache_size=0.01,treshold=0.6] -3.92616 -3.93264 -3.92944 -3.92947
LR_decay_rtime[cache_size=0.01,treshold=0.7] -2.1115 -2.11627 -2.11374 -2.11292
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] -4.22967 -4.23449 -4.23168 -4.23204
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] -5.91774 -5.93154 -5.92128 -5.91937
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] -2.1115 -2.11627 -2.11374 -2.11292
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.3] -8.89485 -8.90928 -8.89904 -8.89709
LR_decay_vtime[cache_size=0.01,treshold=0.5] -7.4812 -7.49581 -7.48631 -7.48519
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] -7.11723 -7.13103 -7.12199 -7.11933
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] -8.1472 -8.16589 -8.15401 -8.15315
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.01,treshold=0.3] -4.50651 -4.52103 -4.51092 -4.50965
LR_id[cache_size=0.01,treshold=0.5] -0.577986 -0.58691 -0.583057 -0.584438
LR_id[cache_size=0.01,treshold=0.6] -0.174235 -0.180833 -0.177572 -0.177172
LR_id[cache_size=0.01,treshold=0.7] 0.0266535 0.0194895 0.0229494 0.0229532
LR_id[cache_size=0.01,treshold=0.8] 0.133021 0.125818 0.129996 0.130808
LR_id[cache_size=0.01,treshold=0.9] 0.187327 0.182806 0.185814 0.186796
LR_1[cache_size=0.1,treshold=0.5] -4.14973 -4.16384 -4.15709 -4.1564
LR_1_log[cache_size=0.1,treshold=0.5] -4.01857 -4.02868 -4.02327 -4.02368
LR_1_mean[cache_size=0.1,treshold=0.5] -7.04833 -7.06071 -7.055 -7.05716
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] -4.14927 -4.16291 -4.15652 -4.15594
LR_1_std_scaler[cache_size=0.1,treshold=0.5] -4.15067 -4.16478 -4.15821 -4.15734
LR_2[cache_size=0.1,treshold=0.5] -5.38921 -5.40088 -5.39681 -5.3983
LR_2_log[cache_size=0.1,treshold=0.5] -7.1286 -7.14162 -7.13589 -7.13758
LR_2_mean[cache_size=0.1,treshold=0.5] -7.12533 -7.13741 -7.13206 -7.13291
LR_3[cache_size=0.1,treshold=0.5] -5.38968 -5.4014 -5.39718 -5.39877
LR_3_log[cache_size=0.1,treshold=0.5] -7.11926 -7.13274 -7.12663 -7.12823
LR_3_mean[cache_size=0.1,treshold=0.5] -7.11599 -7.12853 -7.1228 -7.12355
LR_4[cache_size=0.1,treshold=0.5] -4.00101 -4.01699 -4.00877 -4.00686
LR_4_log[cache_size=0.1,treshold=0.5] -4.04263 -4.05393 -4.04767 -4.04429
LR_4_mean[cache_size=0.1,treshold=0.5] -6.61346 -6.63356 -6.62484 -6.62283
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] -4.00007 -4.01652 -4.0083 -4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5] -4.00007 -4.01652 -4.0083 -4.00639
LR_5[cache_size=0.1,treshold=0.5] -4.00382 -4.02073 -4.01223 -4.01013
LR_5_imba[cache_size=0.1,treshold=0.5] -2.51095 -2.52698 -2.519 -2.51868
LR_6[cache_size=0.1,treshold=0.5] -4.00101 -4.01745 -4.00915 -4.00733
LR_6_imba[cache_size=0.1,treshold=0.5] -2.51048 -2.52605 -2.51815 -2.51774
LR_7[cache_size=0.1,treshold=0.3] -8.14738 -8.16586 -8.15211 -8.14887
LR_7[cache_size=0.1,treshold=0.5] -5.06395 -5.07163 -5.06717 -5.06612
LR_7[cache_size=0.1,treshold=0.6] -3.21156 -3.22139 -3.21605 -3.21626
LR_7[cache_size=0.1,treshold=0.7] -1.21318 -1.22114 -1.21774 -1.21703
LR_7[cache_size=0.1,treshold=0.8] 0.107101 0.100055 0.104549 0.104761
LR_7[cache_size=0.1,treshold=0.9] 0 -0.000467681 -0.000280511 -0.000467327
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] -8.5622 -8.57836 -8.56731 -8.56651
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] -5.76907 -5.79047 -5.77488 -5.77175
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] -3.89765 -3.91643 -3.90478 -3.90363
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] -1.48348 -1.49776 -1.48959 -1.48797
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] -5.61104 -5.63613 -5.61787 -5.61404
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] -1.37545 -1.38881 -1.38055 -1.37908
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] -0.00233774 -0.00280614 -0.00252486 -0.0023384
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] -7.11941 -7.14115 -7.12607 -7.12355
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] -3.58103 -3.597 -3.58843 -3.5872
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] -1.34973 -1.36496 -1.3554 -1.35431
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] -12.6236 -12.6359 -12.6307 -12.6318
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] -7.69874 -7.71361 -7.70577 -7.70458
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] -4.39381 -4.41099 -4.40228 -4.40196
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] -0.115897 -0.122047 -0.118577 -0.118793
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] -7.44779 -7.46059 -7.45393 -7.4539
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] -0.0818208 -0.0855856 -0.0837891 -0.0837164
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] -10.1826 -10.1984 -10.1886 -10.1884
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] -3.8204 -3.8349 -3.82595 -3.82383
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] -0.000934654 -0.000935379 -0.000935143 -0.000935226
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.1,treshold=0.3] -7.28682 -7.30578 -7.29356 -7.29161
LR_7_id[cache_size=0.1,treshold=0.5] -2.83415 -2.84917 -2.84237 -2.84269
LR_7_id[cache_size=0.1,treshold=0.6] -0.696845 -0.706563 -0.701918 -0.702392
LR_7_id[cache_size=0.1,treshold=0.7] 0.63559 0.61912 0.626827 0.625751
LR_7_id[cache_size=0.1,treshold=0.8] 0.881127 0.871565 0.875575 0.873501
LR_7_id[cache_size=0.1,treshold=0.9] 0.741756 0.733685 0.736986 0.737442
LR_7_w_0_5[cache_size=0.1,treshold=0.3] -4.86441 -4.87333 -4.86864 -4.87019
LR_7_w_0_5[cache_size=0.1,treshold=0.5] -1.14589 -1.15407 -1.15004 -1.1497
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 0.00654766 -0.00280568 0.000281158 -0.00186931
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.00514449 0.00374152 0.00430168 0.00420793
LR_7_w_0_5[cache_size=0.1,treshold=0.8] -0.000467327 -0.00046769 -0.000467572 -0.000467613
LR_7_w_0_5[cache_size=0.1,treshold=0.9] -0.000467327 -0.00046769 -0.000467572 -0.000467613
LR_7_w_0_75[cache_size=0.1,treshold=0.3] -6.50332 -6.51679 -6.50747 -6.50592
LR_7_w_0_75[cache_size=0.1,treshold=0.5] -2.8898 -2.89687 -2.89287 -2.89088
LR_7_w_0_75[cache_size=0.1,treshold=0.6] -1.11457 -1.11965 -1.11694 -1.11589
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 0.067815 0.0570408 0.0611589 0.0598178
LR_7_w_0_75[cache_size=0.1,treshold=0.8] -0.000467327 -0.00046769 -0.000467572 -0.000467613
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0 -0.000467681 -0.000374034 -0.000467548
LR_8[cache_size=0.1,treshold=0.3] -8.14691 -8.16539 -8.15183 -8.14887
LR_8[cache_size=0.1,treshold=0.5] -5.06255 -5.07022 -5.06567 -5.06472
LR_8[cache_size=0.1,treshold=0.6] -3.2111 -3.21998 -3.21493 -3.21486
LR_8[cache_size=0.1,treshold=0.7] -1.21458 -1.22254 -1.21887 -1.21796
LR_8[cache_size=0.1,treshold=0.8] 0.106633 0.100055 0.104268 0.104761
LR_8[cache_size=0.1,treshold=0.9] 0 -0.000467681 -0.000280511 -0.000467327
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] -8.56267 -8.5793 -8.56825 -8.56745
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] -5.7686 -5.79093 -5.77479 -5.77165
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] -3.89719 -3.91597 -3.90385 -3.9027
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] -1.48489 -1.4987 -1.49062 -1.4889
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] -5.61057 -5.63519 -5.61713 -5.61323
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] -1.37592 -1.38975 -1.38121 -1.38002
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] -0.00233774 -0.00280614 -0.00252486 -0.0023384
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] -7.12596 -7.14817 -7.13252 -7.12916
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] -3.55952 -3.57783 -3.56832 -3.56711
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] -1.3563 -1.37104 -1.36157 -1.36039
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] -0.000467327 -0.00046769 -0.000467572 -0.000467613
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] -12.684 -12.694 -12.6889 -12.6879
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] -7.73332 -7.74634 -7.73943 -7.73918
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] -4.37745 -4.39603 -4.38713 -4.38747
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] -0.0294416 -0.0327383 -0.0311406 -0.0308625
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] -7.47302 -7.48631 -7.47862 -7.47588
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] -0.0168238 -0.0196426 -0.0186096 -0.0187045
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] -10.1695 -10.1863 -10.1762 -10.1767
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] -3.826 -3.84144 -3.83175 -3.82944
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] -0.000934654 -0.000935379 -0.000935143 -0.000935226
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.1,treshold=0.3] -7.28214 -7.3011 -7.28869 -7.286
LR_8_id[cache_size=0.1,treshold=0.5] -2.83321 -2.8487 -2.84162 -2.84175
LR_8_id[cache_size=0.1,treshold=0.6] -0.698248 -0.708901 -0.703788 -0.704262
LR_8_id[cache_size=0.1,treshold=0.7] 0.634187 0.617717 0.625518 0.624349
LR_8_id[cache_size=0.1,treshold=0.8] 0.88066 0.871097 0.875108 0.873034
LR_8_id[cache_size=0.1,treshold=0.9] 0.742223 0.733217 0.736893 0.737065
LR_9[cache_size=0.1,treshold=0.3] -8.15076 -8.1696 -8.15595 -8.15308
LR_9[cache_size=0.1,treshold=0.5] -5.06676 -5.07443 -5.07025 -5.06939
LR_9[cache_size=0.1,treshold=0.6] -3.2111 -3.22045 -3.21558 -3.21626
LR_9[cache_size=0.1,treshold=0.7] -1.20897 -1.21693 -1.21354 -1.21329
LR_9[cache_size=0.1,treshold=0.8] 0.10842 0.101458 0.105765 0.106164
LR_9[cache_size=0.1,treshold=0.9] 0 -0.000467681 -0.000280511 -0.000467327
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] -8.56547 -8.58211 -8.57124 -8.57072
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] -5.7672 -5.78953 -5.77339 -5.76988
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] -3.89251 -3.91129 -3.89973 -3.89802
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] -1.48769 -1.50197 -1.49342 -1.49171
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] -5.60964 -5.63473 -5.61638 -5.61264
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] -1.37872 -1.39255 -1.38401 -1.38282
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] -0.00280529 -0.00327383 -0.00299243 -0.00280609
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] -7.12876 -7.15051 -7.13524 -7.13244
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] -3.55204 -3.57034 -3.56093 -3.5601
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] -1.3563 -1.37198 -1.36241 -1.36226
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] -0.000467327 -0.000935226 -0.000561094 -0.000467681
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] -12.7139 -12.723 -12.7181 -12.7174
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] -7.74314 -7.75757 -7.75056 -7.75181
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] -4.36483 -4.38434 -4.37488 -4.37484
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] -0.00280396 -0.00327383 -0.0029925 -0.00280568
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] -7.48938 -7.50595 -7.4963 -7.49365
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] -0.00233663 -0.00280614 -0.00271196 -0.00280568
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] -10.1947 -10.2111 -10.2013 -10.2015
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] -3.81292 -3.82741 -3.81847 -3.81635
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] -0.000934654 -0.000935379 -0.000935143 -0.000935226
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.1,treshold=0.3] -7.28728 -7.30672 -7.29402 -7.29208
LR_9_id[cache_size=0.1,treshold=0.5] -2.82947 -2.84402 -2.83713 -2.83755
LR_9_id[cache_size=0.1,treshold=0.6] -0.690765 -0.700017 -0.695653 -0.696317
LR_9_id[cache_size=0.1,treshold=0.7] 0.636993 0.62099 0.628323 0.62762
LR_9_id[cache_size=0.1,treshold=0.8] 0.881127 0.871565 0.875482 0.873501
LR_9_id[cache_size=0.1,treshold=0.9] 0.742223 0.733685 0.737174 0.737442
LR_decay_rtime[cache_size=0.1,treshold=0.3] -9.71045 -9.73169 -9.71782 -9.71514
LR_decay_rtime[cache_size=0.1,treshold=0.5] -6.84073 -6.85867 -6.84646 -6.84264
LR_decay_rtime[cache_size=0.1,treshold=0.6] -4.97236 -4.98943 -4.98057 -4.98172
LR_decay_rtime[cache_size=0.1,treshold=0.7] -2.5194 -2.52786 -2.52376 -2.52335
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] -6.69633 -6.71462 -6.70264 -6.7014
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] -2.25142 -2.25988 -2.25491 -2.25358
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] -8.33941 -8.35855 -8.34428 -8.34062
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] -4.60597 -4.61768 -4.61241 -4.61329
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] -2.26545 -2.27531 -2.26931 -2.26807
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.3] -16.8055 -16.8289 -16.814 -16.8116
LR_decay_vtime[cache_size=0.1,treshold=0.5] -16.0676 -16.0885 -16.0751 -16.0733
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] -15.7438 -15.7677 -15.7529 -15.7511
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] -16.5817 -16.602 -16.5901 -16.5877
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.1,treshold=0.3] -6.19167 -6.21139 -6.19888 -6.19818
LR_id[cache_size=0.1,treshold=0.5] 0.197833 0.183772 0.191986 0.191227
LR_id[cache_size=0.1,treshold=0.6] 0.730531 0.71498 0.722305 0.720696
LR_id[cache_size=0.1,treshold=0.7] 0.916204 0.906833 0.910268 0.909847
LR_id[cache_size=0.1,treshold=0.8] 0.945668 0.938032 0.94197 0.940729
LR_id[cache_size=0.1,treshold=0.9] 0.875515 0.86543 0.871647 0.872499
LR_1[cache_size=0.2,treshold=0.5] -4.34532 -4.3589 -4.3518 -4.35281
LR_1_log[cache_size=0.2,treshold=0.5] -4.49586 -4.51532 -4.50601 -4.50932
LR_1_mean[cache_size=0.2,treshold=0.5] -8.05283 -8.06224 -8.05794 -8.05928
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] -4.34598 -4.3602 -4.35245 -4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5] -4.34925 -4.36282 -4.3552 -4.35608
LR_2[cache_size=0.2,treshold=0.5] -6.12635 -6.15169 -6.14085 -6.14131
LR_2_log[cache_size=0.2,treshold=0.5] -8.0345 -8.04915 -8.04131 -8.04029
LR_2_mean[cache_size=0.2,treshold=0.5] -8.06134 -8.07205 -8.0671 -8.06845
LR_3[cache_size=0.2,treshold=0.5] -6.127 -6.15235 -6.14164 -6.14262
LR_3_log[cache_size=0.2,treshold=0.5] -8.03058 -8.04588 -8.03725 -8.03613
LR_3_mean[cache_size=0.2,treshold=0.5] -8.05676 -8.06747 -8.06252 -8.06386
LR_4[cache_size=0.2,treshold=0.5] -4.18562 -4.20051 -4.19182 -4.19302
LR_4_log[cache_size=0.2,treshold=0.5] -4.49324 -4.50943 -4.50038 -4.49624
LR_4_mean[cache_size=0.2,treshold=0.5] -7.44372 -7.45725 -7.45207 -7.45427
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] -4.18562 -4.1992 -4.19169 -4.19237
LR_4_std_scaler[cache_size=0.2,treshold=0.5] -4.18627 -4.20116 -4.19287 -4.19368
LR_5[cache_size=0.2,treshold=0.5] -4.18955 -4.20378 -4.19562 -4.1963
LR_5_imba[cache_size=0.2,treshold=0.5] -2.44592 -2.46081 -2.45239 -2.45302
LR_6[cache_size=0.2,treshold=0.5] -4.18562 -4.1992 -4.19169 -4.19237
LR_6_imba[cache_size=0.2,treshold=0.5] -2.44199 -2.45623 -2.44872 -2.44975
LR_7[cache_size=0.2,treshold=0.3] -9.1235 -9.12733 -9.12527 -9.12554
LR_7[cache_size=0.2,treshold=0.5] -5.35066 -5.36681 -5.35865 -5.35646
LR_7[cache_size=0.2,treshold=0.6] -3.21367 -3.23579 -3.22569 -3.22357
LR_7[cache_size=0.2,treshold=0.7] -1.10015 -1.11492 -1.10608 -1.10351
LR_7[cache_size=0.2,treshold=0.8] -0.00981444 -0.0124422 -0.0117823 -0.0124353
LR_7[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] -12.5516 -12.561 -12.555 -12.5537
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] -9.46559 -9.4814 -9.47742 -9.48085
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] -7.39834 -7.41252 -7.40403 -7.40246
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] -0.000654515 -0.00130971 -0.00104729 -0.00130859
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] -9.264 -9.27796 -9.27451 -9.27672
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 -0.000654489 -0.000130898 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] -10.8357 -10.8447 -10.8422 -10.8437
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] -6.89635 -6.90871 -6.90145 -6.9012
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 -0.000654853 -0.000261868 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] -14.5905 -14.6003 -14.597 -14.598
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] -8.80982 -8.81762 -8.81409 -8.81335
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] -5.09984 -5.11987 -5.11214 -5.11221
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] -0.433144 -0.438097 -0.435678 -0.436007
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] -8.50542 -8.51305 -8.50762 -8.50654
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] -0.481049 -0.485106 -0.482151 -0.481562
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] -11.5365 -11.5503 -11.5428 -11.5432
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] -4.50278 -4.52242 -4.51413 -4.51419
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] -0.33042 -0.33463 -0.332126 -0.330606
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.2,treshold=0.3] -7.86907 -7.87808 -7.87335 -7.87185
LR_7_id[cache_size=0.2,treshold=0.5] -2.6534 -2.66377 -2.65949 -2.6599
LR_7_id[cache_size=0.2,treshold=0.6] -0.183857 -0.192427 -0.189169 -0.190456
LR_7_id[cache_size=0.2,treshold=0.7] 1.39222 1.3786 1.38663 1.38757
LR_7_id[cache_size=0.2,treshold=0.8] 1.55331 1.54043 1.54726 1.54793
LR_7_id[cache_size=0.2,treshold=0.9] 1.14998 1.14304 1.14522 1.14405
LR_7_w_0_5[cache_size=0.2,treshold=0.3] -5.11241 -5.13119 -5.12183 -5.1203
LR_7_w_0_5[cache_size=0.2,treshold=0.5] -0.967218 -0.98537 -0.975429 -0.974141
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 0.0307622 0.0189746 0.0244808 0.0242296
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.3] -7.0946 -7.10709 -7.09966 -7.09861
LR_7_w_0_75[cache_size=0.2,treshold=0.5] -2.83405 -2.85208 -2.84368 -2.8419
LR_7_w_0_75[cache_size=0.2,treshold=0.6] -0.95936 -0.979481 -0.969407 -0.968903
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 0.0235625 0.0117773 0.0166259 0.0144068
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8[cache_size=0.2,treshold=0.3] -9.11762 -9.12144 -9.11951 -9.11965
LR_8[cache_size=0.2,treshold=0.5] -5.35066 -5.36615 -5.35839 -5.35581
LR_8[cache_size=0.2,treshold=0.6] -3.2189 -3.24168 -3.23092 -3.22881
LR_8[cache_size=0.2,treshold=0.7] -1.10932 -1.12212 -1.1142 -1.11202
LR_8[cache_size=0.2,treshold=0.8] -0.011123 -0.0130933 -0.012175 -0.0124358
LR_8[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] -12.5581 -12.5669 -12.5619 -12.5608
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] -9.46755 -9.48282 -9.47873 -9.48223
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] -7.40554 -7.41906 -7.41083 -7.41032
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] -9.264 -9.27796 -9.27398 -9.27607
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] -10.8357 -10.845 -10.8426 -10.8444
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] -6.90289 -6.9146 -6.90761 -6.90644
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] -14.5794 -14.5879 -14.5855 -14.5869
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] -8.80851 -8.81599 -8.81278 -8.81204
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] -5.10573 -5.1251 -5.11803 -5.1181
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] -0.452924 -0.456301 -0.454398 -0.454215
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] -8.50016 -8.50781 -8.50238 -8.5013
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] -0.48852 -0.491653 -0.489482 -0.488922
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] -11.5679 -11.5824 -11.5741 -11.5738
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] -4.49885 -4.51718 -4.50903 -4.5083
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] -0.29705 -0.305816 -0.300576 -0.299182
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.2,treshold=0.3] -7.87169 -7.8807 -7.87597 -7.87446
LR_8_id[cache_size=0.2,treshold=0.5] -2.65667 -2.66835 -2.66316 -2.66364
LR_8_id[cache_size=0.2,treshold=0.6] -0.187129 -0.1957 -0.192704 -0.194383
LR_8_id[cache_size=0.2,treshold=0.7] 1.39222 1.37795 1.3861 1.38692
LR_8_id[cache_size=0.2,treshold=0.8] 1.55266 1.54043 1.5466 1.54727
LR_8_id[cache_size=0.2,treshold=0.9] 1.14933 1.14173 1.14405 1.14274
LR_9[cache_size=0.2,treshold=0.3] -9.12612 -9.12995 -9.12815 -9.12816
LR_9[cache_size=0.2,treshold=0.5] -5.35393 -5.37008 -5.36205 -5.35997
LR_9[cache_size=0.2,treshold=0.6] -3.21628 -3.23907 -3.22844 -3.22619
LR_9[cache_size=0.2,treshold=0.7] -1.10146 -1.11623 -1.10778 -1.10548
LR_9[cache_size=0.2,treshold=0.8] -0.0104687 -0.0130971 -0.0124369 -0.0130898
LR_9[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] -12.5444 -12.5532 -12.5478 -12.5459
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] -9.46297 -9.47879 -9.47467 -9.47765
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] -7.39376 -7.40729 -7.39866 -7.3964
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] -0.00196289 -0.00196456 -0.00196369 -0.00196354
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0 -0.000654853 -0.000523631 -0.000654489
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] -9.25942 -9.27403 -9.26993 -9.27214
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] -0.000654296 -0.000654853 -0.000654563 -0.000654515
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] -9.37672 -9.39771 -9.38605 -9.38602
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] -4.45827 -4.47068 -4.467 -4.46885
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] -1.58452 -1.59714 -1.58928 -1.58851
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] -14.6003 -14.6101 -14.6065 -14.6078
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] -8.81113 -8.8186 -8.81566 -8.81531
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] -5.09133 -5.11113 -5.10402 -5.10436
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] -0.412439 -0.416487 -0.414208 -0.414308
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] -8.50802 -8.51501 -8.50998 -8.50916
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] -0.467305 -0.471358 -0.468406 -0.467822
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] -11.581 -11.5948 -11.5862 -11.5851
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] -4.49493 -4.51325 -4.50497 -4.50437
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] -0.278232 -0.286171 -0.281594 -0.280132
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.2,treshold=0.3] -7.87496 -7.88332 -7.87872 -7.87708
LR_9_id[cache_size=0.2,treshold=0.5] -2.65406 -2.66508 -2.66041 -2.66102
LR_9_id[cache_size=0.2,treshold=0.6] -0.182549 -0.191162 -0.188253 -0.189802
LR_9_id[cache_size=0.2,treshold=0.7] 1.39353 1.37926 1.38781 1.38888
LR_9_id[cache_size=0.2,treshold=0.8] 1.55266 1.54043 1.5466 1.54727
LR_9_id[cache_size=0.2,treshold=0.9] 1.14933 1.14173 1.14444 1.14339
LR_decay_rtime[cache_size=0.2,treshold=0.3] -12.64 -12.6507 -12.6458 -12.6465
LR_decay_rtime[cache_size=0.2,treshold=0.5] -9.36021 -9.3813 -9.37374 -9.37553
LR_decay_rtime[cache_size=0.2,treshold=0.6] -6.96432 -6.97283 -6.96822 -6.966
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] -9.14946 -9.17258 -9.1631 -9.16546
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] -10.9188 -10.9295 -10.9264 -10.9281
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] -6.40917 -6.42542 -6.4176 -6.41948
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.3] -20.7329 -20.747 -20.7376 -20.7363
LR_decay_vtime[cache_size=0.2,treshold=0.5] -20.1903 -20.2075 -20.1983 -20.197
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] -20.6044 -20.6219 -20.6106 -20.6094
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.2,treshold=0.3] -6.38397 -6.39149 -6.38736 -6.38585
LR_id[cache_size=0.2,treshold=0.5] 1.1568 1.14894 1.15242 1.15195
LR_id[cache_size=0.2,treshold=0.6] 1.70786 1.69427 1.70173 1.70239
LR_id[cache_size=0.2,treshold=0.7] 1.81329 1.79574 1.80345 1.8045
LR_id[cache_size=0.2,treshold=0.8] 1.70982 1.69266 1.69951 1.69781
LR_id[cache_size=0.2,treshold=0.9] 1.44788 1.43306 1.43978 1.43726
LR_1[cache_size=0.4,treshold=0.5] -4.27173 -4.33018 -4.29553 -4.28948
LR_1_log[cache_size=0.4,treshold=0.5] -4.87156 -4.92392 -4.89566 -4.89544
LR_1_mean[cache_size=0.4,treshold=0.5] -8.93002 -8.97831 -8.94945 -8.94771
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] -4.27263 -4.32985 -4.29562 -4.28925
LR_1_std_scaler[cache_size=0.4,treshold=0.5] -4.28934 -4.34769 -4.31314 -4.30698
LR_2[cache_size=0.4,treshold=0.5] -8.08884 -8.14444 -8.11281 -8.11011
LR_2_log[cache_size=0.4,treshold=0.5] -8.47372 -8.52637 -8.49845 -8.49391
LR_2_mean[cache_size=0.4,treshold=0.5] -8.92723 -8.98198 -8.9513 -8.95072
LR_3[cache_size=0.4,treshold=0.5] -6.61497 -6.67559 -6.64662 -6.65118
LR_3_log[cache_size=0.4,treshold=0.5] -8.47405 -8.52804 -8.4993 -8.49514
LR_3_mean[cache_size=0.4,treshold=0.5] -8.92534 -8.97998 -8.94963 -8.94938
LR_4[cache_size=0.4,treshold=0.5] -4.48902 -4.54879 -4.51535 -4.50886
LR_4_log[cache_size=0.4,treshold=0.5] -4.8496 -4.90385 -4.87695 -4.87794
LR_4_mean[cache_size=0.4,treshold=0.5] -8.12873 -8.18992 -8.16157 -8.16416
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] -4.20945 -4.26642 -4.23389 -4.22739
LR_4_std_scaler[cache_size=0.4,treshold=0.5] -4.22092 -4.27712 -4.24497 -4.23898
LR_5[cache_size=0.4,treshold=0.5] -4.22293 -4.27991 -4.24724 -4.24121
LR_5_imba[cache_size=0.4,treshold=0.5] -1.87457 -1.92023 -1.90385 -1.90786
LR_6[cache_size=0.4,treshold=0.5] -4.20755 -4.2653 -4.23215 -4.22583
LR_6_imba[cache_size=0.4,treshold=0.5] -1.86677 -1.91856 -1.89866 -1.90084
LR_7[cache_size=0.4,treshold=0.3] -9.49325 -9.54149 -9.51692 -9.51555
LR_7[cache_size=0.4,treshold=0.5] -5.12316 -5.18121 -5.15563 -5.15518
LR_7[cache_size=0.4,treshold=0.6] -2.91977 -2.98173 -2.9458 -2.94612
LR_7[cache_size=0.4,treshold=0.7] -1.04431 -1.06864 -1.05688 -1.0552
LR_7[cache_size=0.4,treshold=0.8] -0.134606 -0.159964 -0.150485 -0.157828
LR_7[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] -16.3829 -16.4379 -16.4154 -16.4254
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] -9.74211 -9.80403 -9.7766 -9.78019
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] -5.77502 -5.81742 -5.79959 -5.80283
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] -1.00687 -1.03073 -1.02295 -1.02382
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] -8.49455 -8.54186 -8.52094 -8.52503
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] -0.412807 -0.428867 -0.420886 -0.422638
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] -11.9291 -12.0086 -11.9638 -11.9617
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] -4.26471 -4.32751 -4.30519 -4.31946
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] -0.121401 -0.132039 -0.127654 -0.128589
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] -16.3261 -16.3777 -16.3581 -16.3686
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] -9.64996 -9.71384 -9.68346 -9.68488
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] -5.75028 -5.79121 -5.77332 -5.77653
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] -1.07807 -1.10914 -1.09927 -1.10456
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] -8.49667 -8.54432 -8.52293 -8.52615
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] -0.418493 -0.433106 -0.426058 -0.427763
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] -11.9158 -11.9986 -11.9522 -11.9516
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] -4.26327 -4.32606 -4.30436 -4.31946
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] -0.128981 -0.140062 -0.135078 -0.134829
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_id[cache_size=0.4,treshold=0.3] -7.59031 -7.64869 -7.61611 -7.61137
LR_7_id[cache_size=0.4,treshold=0.5] -1.7667 -1.83004 -1.79952 -1.79585
LR_7_id[cache_size=0.4,treshold=0.6] 1.00865 0.951586 0.982041 0.983666
LR_7_id[cache_size=0.4,treshold=0.7] 2.885 2.84918 2.86243 2.8603
LR_7_id[cache_size=0.4,treshold=0.8] 2.73469 2.70326 2.71871 2.71648
LR_7_id[cache_size=0.4,treshold=0.9] 1.47275 1.45433 1.46468 1.46673
LR_7_w_0_5[cache_size=0.4,treshold=0.3] -4.41124 -4.45493 -4.43714 -4.44242
LR_7_w_0_5[cache_size=0.4,treshold=0.5] -0.670021 -0.715545 -0.694368 -0.699754
LR_7_w_0_5[cache_size=0.4,treshold=0.6] -0.123575 -0.15138 -0.141567 -0.146451
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.000111539 -0.000334419 -0.000133728 -0.000111479
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.3] -6.61887 -6.67648 -6.64697 -6.64378
LR_7_w_0_75[cache_size=0.4,treshold=0.5] -2.10534 -2.15166 -2.13143 -2.13337
LR_7_w_0_75[cache_size=0.4,treshold=0.6] -0.668127 -0.711532 -0.692896 -0.701873
LR_7_w_0_75[cache_size=0.4,treshold=0.7] -0.110649 -0.13697 -0.125092 -0.127636
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8[cache_size=0.4,treshold=0.3] -9.49247 -9.54104 -9.51637 -9.51499
LR_8[cache_size=0.4,treshold=0.5] -5.12417 -5.18121 -5.15596 -5.15551
LR_8[cache_size=0.4,treshold=0.6] -2.91977 -2.98195 -2.94584 -2.94589
LR_8[cache_size=0.4,treshold=0.7] -1.0442 -1.06819 -1.05682 -1.05498
LR_8[cache_size=0.4,treshold=0.8] -0.134829 -0.159852 -0.150596 -0.158051
LR_8[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] -16.3796 -16.4357 -16.4132 -16.4232
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] -9.74055 -9.80214 -9.77468 -9.77829
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] -5.77569 -5.81787 -5.79999 -5.80294
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] -1.00798 -1.03218 -1.02445 -1.02628
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] -8.495 -8.54231 -8.5213 -8.52537
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] -0.415483 -0.431433 -0.423829 -0.425535
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] -11.9269 -12.0075 -11.9622 -11.9594
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] -4.26226 -4.3245 -4.30311 -4.31789
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] -0.119952 -0.130257 -0.126027 -0.126583
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] -16.3228 -16.3755 -16.355 -16.3652
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] -9.6484 -9.71061 -9.67989 -9.68164
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] -5.74683 -5.78697 -5.7694 -5.77251
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] -1.07507 -1.1058 -1.09581 -1.10111
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] -8.495 -8.54231 -8.5213 -8.52537
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] -0.415483 -0.431433 -0.423829 -0.425535
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] -11.9146 -11.9964 -11.9502 -11.9494
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] -4.26483 -4.3274 -4.3053 -4.31957
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] -0.132883 -0.143293 -0.138377 -0.138172
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_8_id[cache_size=0.4,treshold=0.3] -7.58696 -7.64635 -7.61319 -7.60825
LR_8_id[cache_size=0.4,treshold=0.5] -1.75946 -1.8238 -1.79316 -1.78961
LR_8_id[cache_size=0.4,treshold=0.6] 1.01645 0.958274 0.98913 0.991689
LR_8_id[cache_size=0.4,treshold=0.7] 2.88712 2.85253 2.86549 2.86331
LR_8_id[cache_size=0.4,treshold=0.8] 2.73446 2.70303 2.71868 2.71648
LR_8_id[cache_size=0.4,treshold=0.9] 1.47231 1.45377 1.46435 1.46684
LR_9[cache_size=0.4,treshold=0.3] -9.4938 -9.54238 -9.51777 -9.51655
LR_9[cache_size=0.4,treshold=0.5] -5.12361 -5.18166 -5.15587 -5.15506
LR_9[cache_size=0.4,treshold=0.6] -2.91966 -2.98184 -2.94555 -2.94567
LR_9[cache_size=0.4,treshold=0.7] -1.04398 -1.06864 -1.05666 -1.05476
LR_9[cache_size=0.4,treshold=0.8] -0.13416 -0.159964 -0.150239 -0.157605
LR_9[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] -16.3874 -16.4424 -16.4201 -16.4288
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] -9.74389 -9.80537 -9.77845 -9.78152
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] -5.77413 -5.8162 -5.79831 -5.8015
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] -1.00186 -1.02493 -1.0172 -1.01836
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] -8.49522 -8.54287 -8.5217 -8.52548
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] -0.409797 -0.42619 -0.418322 -0.421301
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] -11.928 -12.0086 -11.9636 -11.9617
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] -4.25937 -4.32126 -4.3001 -4.31555
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] -0.114823 -0.124924 -0.120253 -0.121457
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] -16.3294 -16.3822 -16.3617 -16.3719
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] -9.64962 -9.7134 -9.6827 -9.68432
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] -5.74594 -5.78608 -5.76842 -5.7714
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] -1.06771 -1.09877 -1.08885 -1.09428
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] -8.49767 -8.54532 -8.52373 -8.52693
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] -0.41002 -0.426859 -0.418634 -0.421301
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] -11.918 -12.0008 -11.954 -11.9527
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] -4.26215 -4.32439 -4.30289 -4.31778
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] -0.125637 -0.136496 -0.131868 -0.132489
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_9_id[cache_size=0.4,treshold=0.3] -7.58819 -7.64769 -7.61446 -7.60959
LR_9_id[cache_size=0.4,treshold=0.5] -1.75801 -1.82235 -1.79156 -1.78827
LR_9_id[cache_size=0.4,treshold=0.6] 1.01902 0.961061 0.991783 0.994697
LR_9_id[cache_size=0.4,treshold=0.7] 2.88924 2.85398 2.86714 2.86409
LR_9_id[cache_size=0.4,treshold=0.8] 2.73469 2.70303 2.71891 2.71648
LR_9_id[cache_size=0.4,treshold=0.9] 1.47275 1.45388 1.46459 1.46695
LR_decay_rtime[cache_size=0.4,treshold=0.3] -18.2884 -18.3529 -18.3273 -18.3383
LR_decay_rtime[cache_size=0.4,treshold=0.5] -14.8664 -14.9185 -14.8992 -14.9085
LR_decay_rtime[cache_size=0.4,treshold=0.6] -8.84845 -8.89001 -8.87027 -8.87001
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] -13.9181 -13.9629 -13.9473 -13.9515
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] -16.2046 -16.2607 -16.2395 -16.2559
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.3] -26.3892 -26.4608 -26.4262 -26.4192
LR_decay_vtime[cache_size=0.4,treshold=0.5] -25.9725 -26.0439 -26.0089 -26.0035
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] -26.2633 -26.3382 -26.3014 -26.2943
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0 0 0
LR_id[cache_size=0.4,treshold=0.3] -5.38892 -5.44431 -5.42012 -5.42371
LR_id[cache_size=0.4,treshold=0.5] 3.31501 3.26143 3.28269 3.28171
LR_id[cache_size=0.4,treshold=0.6] 3.85722 3.81883 3.83649 3.83623
LR_id[cache_size=0.4,treshold=0.7] 3.6952 3.65083 3.67045 3.66773
LR_id[cache_size=0.4,treshold=0.8] 3.15277 3.11004 3.13165 3.13272
LR_id[cache_size=0.4,treshold=0.9] 2.26368 2.23932 2.24621 2.24328
Offline Clock 1st iteration 0 0 0 0
Offline Clock 2nd iteration 7.80369 0.100977 2.73498 1.84941
Zipf Optimal Distribution 3.35401 0.0684004 1.23463 0.902408

Model Summaries Plot

Miss Ratio Reduced (%)

Promotion Reduced (%)

Mean Promotion vs Miss Ratio

Cache Size All

Model Promotion Reduced (%) Miss Ratio Reduced (%)
LR_id[cache_size=0.4,treshold=0.6] 28.3126 3.83649
LR_id[cache_size=0.4,treshold=0.7] 21.2656 3.67045
LR_id[cache_size=0.4,treshold=0.5] 37.6943 3.28269
LR_id[cache_size=0.4,treshold=0.8] 15.1738 3.13165
LR_9_id[cache_size=0.4,treshold=0.7] 26.6774 2.86714
LR_8_id[cache_size=0.4,treshold=0.7] 26.6826 2.86549
LR_7_id[cache_size=0.4,treshold=0.7] 26.701 2.86243
Offline Clock 2nd iteration 42.6567 2.73498
LR_9_id[cache_size=0.4,treshold=0.8] 14.3994 2.71891
LR_7_id[cache_size=0.4,treshold=0.8] 14.4066 2.71871
LR_8_id[cache_size=0.4,treshold=0.8] 14.4004 2.71868
LR_id[cache_size=0.4,treshold=0.9] 9.49727 2.24621
LR_id[cache_size=0.2,treshold=0.7] 20.3176 1.80345
LR_id[cache_size=0.2,treshold=0.6] 26.038 1.70173
LR_id[cache_size=0.2,treshold=0.8] 15.6163 1.69951
LR_7_id[cache_size=0.2,treshold=0.8] 14.6428 1.54726
LR_9_id[cache_size=0.2,treshold=0.8] 14.631 1.5466
LR_8_id[cache_size=0.2,treshold=0.8] 14.6324 1.5466
LR_7_id[cache_size=0.4,treshold=0.9] 6.00012 1.46468
LR_9_id[cache_size=0.4,treshold=0.9] 5.9994 1.46459
LR_8_id[cache_size=0.4,treshold=0.9] 5.99889 1.46435
LR_id[cache_size=0.2,treshold=0.9] 11.2311 1.43978
LR_9_id[cache_size=0.2,treshold=0.7] 24.279 1.38781
LR_7_id[cache_size=0.2,treshold=0.7] 24.2932 1.38663
LR_8_id[cache_size=0.2,treshold=0.7] 24.2912 1.3861
Zipf Optimal Distribution 12.1282 1.23463
LR_id[cache_size=0.2,treshold=0.5] 34.0401 1.15242
LR_7_id[cache_size=0.2,treshold=0.9] 8.22748 1.14522
LR_9_id[cache_size=0.2,treshold=0.9] 8.21821 1.14444
LR_8_id[cache_size=0.2,treshold=0.9] 8.21593 1.14405
LR_9_id[cache_size=0.4,treshold=0.6] 41.3953 0.991783
LR_8_id[cache_size=0.4,treshold=0.6] 41.3991 0.98913
LR_7_id[cache_size=0.4,treshold=0.6] 41.4208 0.982041
LR_id[cache_size=0.1,treshold=0.8] 15.9931 0.94197
LR_id[cache_size=0.1,treshold=0.7] 20.2532 0.910268
LR_7_id[cache_size=0.1,treshold=0.8] 14.7701 0.875575
LR_9_id[cache_size=0.1,treshold=0.8] 14.7686 0.875482
LR_8_id[cache_size=0.1,treshold=0.8] 14.7713 0.875108
LR_id[cache_size=0.1,treshold=0.9] 11.988 0.871647
LR_9_id[cache_size=0.1,treshold=0.9] 9.04395 0.737174
LR_7_id[cache_size=0.1,treshold=0.9] 9.03969 0.736986
LR_8_id[cache_size=0.1,treshold=0.9] 9.04009 0.736893
LR_id[cache_size=0.1,treshold=0.6] 25.5405 0.722305
LR_9_id[cache_size=0.1,treshold=0.7] 23.5296 0.628323
LR_7_id[cache_size=0.1,treshold=0.7] 23.5533 0.626827
LR_8_id[cache_size=0.1,treshold=0.7] 23.5571 0.625518
LR_id[cache_size=0.1,treshold=0.5] 33.037 0.191986
LR_9_id[cache_size=0.01,treshold=0.9] 9.86908 0.189072
LR_8_id[cache_size=0.01,treshold=0.9] 9.85818 0.188973
LR_7_id[cache_size=0.01,treshold=0.9] 9.85397 0.188923
LR_id[cache_size=0.01,treshold=0.9] 12.6581 0.185814
LR_9_id[cache_size=0.01,treshold=0.8] 15.1723 0.134931
LR_8_id[cache_size=0.01,treshold=0.8] 15.1912 0.134043
LR_7_id[cache_size=0.01,treshold=0.8] 15.2063 0.133204
LR_id[cache_size=0.01,treshold=0.8] 16.3887 0.129996
LR_9[cache_size=0.1,treshold=0.8] 5.10997 0.105765
LR_7[cache_size=0.1,treshold=0.8] 5.18877 0.104549
LR_8[cache_size=0.1,treshold=0.8] 5.2224 0.104268
LR_9[cache_size=0.01,treshold=0.8] 6.39412 0.0833573
LR_8[cache_size=0.01,treshold=0.8] 6.71479 0.0754115
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.45957 0.0745725
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.50028 0.0738815
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.48513 0.0737828
LR_7[cache_size=0.01,treshold=0.8] 6.87683 0.0684527
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 2.97332 0.0661331
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 7.42725 0.0618887
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 8.78646 0.0611589
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 2.25761 0.0531039
LR_8[cache_size=0.01,treshold=0.9] 1.35946 0.0346951
LR_9[cache_size=0.01,treshold=0.9] 1.34921 0.0346458
LR_7[cache_size=0.01,treshold=0.9] 1.34513 0.0341523
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 1.27208 0.0323756
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 10.4257 0.0244808
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 8.98099 0.0232454
LR_id[cache_size=0.01,treshold=0.7] 20.339 0.0229494
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.696044 0.0179151
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 8.01782 0.0166259
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.428901 0.0106603
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.0667291 0.00430168
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 11.1922 0.000281158
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0.0001986 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000145953 0
LR_8[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9[cache_size=0.2,treshold=0.9] 0 0
LR_9[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0.000897685 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 7.79792e-05 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0.000233716 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0.000226053 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99851e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 3.99885e-06 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 8.99711e-05 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 1.75254e-05 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 3.11469e-05 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.000711758 -0.000130898
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.00168828 -0.000133728
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0.00106129 -0.000148054
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0.00113026 -0.000197407
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0.00206727 -0.000261868
LR_8[cache_size=0.1,treshold=0.9] 0.000551015 -0.000280511
LR_9[cache_size=0.1,treshold=0.9] 0.000529597 -0.000280511
LR_7[cache_size=0.1,treshold=0.9] 0.000531545 -0.000280511
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0.000720407 -0.000374034
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0.00154402 -0.000467572
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0.00073988 -0.000467572
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00442746 -0.000467572
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0.00092874 -0.000467572
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.0089115 -0.000561094
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.00359077 -0.000654563
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00935943 -0.000935143
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00990655 -0.000935143
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00880064 -0.000935143
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00680156 -0.00104729
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0114865 -0.00152992
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0124336 -0.00196369
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0269041 -0.00252486
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0265186 -0.00252486
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.0264548 -0.00271196
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0362304 -0.00299243
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0300374 -0.0029925
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_7[cache_size=0.2,treshold=0.8] 4.65984 -0.0117823
LR_8[cache_size=0.2,treshold=0.8] 4.79185 -0.012175
LR_9[cache_size=0.2,treshold=0.8] 4.6636 -0.0124369
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.193878 -0.0186096
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7919 -0.0307961
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.325305 -0.0311406
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7434 -0.0341521
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7185 -0.0357807
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.904352 -0.0837891
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2225 -0.0982123
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2199 -0.100187
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2268 -0.100828
LR_9_id[cache_size=0.01,treshold=0.7] 22.7714 -0.117361
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26179 -0.118577
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.09055 -0.120253
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 6.02358 -0.125092
LR_8_id[cache_size=0.01,treshold=0.7] 22.8741 -0.125406
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.15034 -0.126027
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.16519 -0.127654
LR_7_id[cache_size=0.01,treshold=0.7] 22.9407 -0.130687
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.20582 -0.131868
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.23588 -0.135078
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.2663 -0.138377
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 7.54661 -0.141567
LR_9[cache_size=0.4,treshold=0.8] 6.82601 -0.150239
LR_7[cache_size=0.4,treshold=0.8] 6.83317 -0.150485
LR_8[cache_size=0.4,treshold=0.8] 6.83671 -0.150596
LR_id[cache_size=0.01,treshold=0.6] 25.2618 -0.177572
LR_9_id[cache_size=0.2,treshold=0.6] 38.1582 -0.188253
LR_7_id[cache_size=0.2,treshold=0.6] 38.1612 -0.189169
LR_8_id[cache_size=0.2,treshold=0.6] 38.1722 -0.192704
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.67296 -0.281594
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.85476 -0.300576
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 3.18307 -0.332126
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95124 -0.414208
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88232 -0.418322
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88473 -0.418634
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.90405 -0.420886
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9258 -0.423829
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9258 -0.423829
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.94366 -0.426058
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13316 -0.435678
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30283 -0.454398
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.42373 -0.468406
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.54327 -0.482151
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.61148 -0.489482
LR_id[cache_size=0.01,treshold=0.5] 32.2723 -0.583057
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 23.4114 -0.692896
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 23.7677 -0.694368
LR_9_id[cache_size=0.1,treshold=0.6] 36.8594 -0.695653
LR_7_id[cache_size=0.1,treshold=0.6] 36.896 -0.701918
LR_8_id[cache_size=0.1,treshold=0.6] 36.8964 -0.703788
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 24.935 -0.763343
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 25.516 -0.796607
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7411 -0.809192
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7523 -0.810574
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7655 -0.811759
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.1891 -0.835497
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2091 -0.837077
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2134 -0.837669
LR_9_id[cache_size=0.01,treshold=0.6] 34.6808 -0.905974
LR_8_id[cache_size=0.01,treshold=0.6] 34.8694 -0.931193
LR_7_id[cache_size=0.01,treshold=0.6] 34.9701 -0.945456
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 28.7917 -0.969407
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 29.1976 -0.975429
LR_9[cache_size=0.01,treshold=0.7] 28.6731 -0.998066
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3307 -1.00483
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3519 -1.00769
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.366 -1.00922
LR_8[cache_size=0.01,treshold=0.7] 28.7362 -1.0144
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05942 -1.0172
LR_7[cache_size=0.01,treshold=0.7] 28.6839 -1.01845
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09984 -1.02295
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.11483 -1.02445
LR_9[cache_size=0.4,treshold=0.7] 28.9149 -1.05666
LR_8[cache_size=0.4,treshold=0.7] 28.9221 -1.05682
LR_7[cache_size=0.4,treshold=0.7] 28.9199 -1.05688
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60868 -1.08885
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.66265 -1.09581
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68884 -1.09927
LR_7[cache_size=0.2,treshold=0.7] 29.8321 -1.10608
LR_9[cache_size=0.2,treshold=0.7] 29.8537 -1.10778
LR_8[cache_size=0.2,treshold=0.7] 29.9089 -1.1142
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 29.4509 -1.11694
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 29.9186 -1.15004
LR_9[cache_size=0.1,treshold=0.7] 30.409 -1.21354
LR_7[cache_size=0.1,treshold=0.7] 30.4274 -1.21774
LR_8[cache_size=0.1,treshold=0.7] 30.4185 -1.21887
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.3194 -1.3554
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.212 -1.36157
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.1652 -1.36241
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.538 -1.38055
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.526 -1.38121
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5112 -1.38401
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7606 -1.48959
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7749 -1.49062
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7683 -1.49342
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 27.685 -1.58928
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 23.0355 -1.69542
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1313 -1.76111
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.139 -1.7621
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1456 -1.76279
LR_9_id[cache_size=0.4,treshold=0.5] 53.7563 -1.79156
LR_8_id[cache_size=0.4,treshold=0.5] 53.7552 -1.79316
LR_7_id[cache_size=0.4,treshold=0.5] 53.7721 -1.79952
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 24.7302 -1.83272
LR_6_imba[cache_size=0.4,treshold=0.5] 30.6156 -1.89866
LR_5_imba[cache_size=0.4,treshold=0.5] 30.4244 -1.90385
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 25.6791 -1.91144
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 41.5571 -2.01676
LR_5_imba[cache_size=0.01,treshold=0.5] 41.3713 -2.02273
LR_6_imba[cache_size=0.01,treshold=0.5] 41.3892 -2.02407
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.337 -2.0901
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.3326 -2.09025
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3463 -2.09183
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.053 -2.11374
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 21.053 -2.11374
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 40.9505 -2.13143
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 19.9158 -2.25491
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 20.0878 -2.26931
LR_9_id[cache_size=0.01,treshold=0.5] 48.7249 -2.29645
LR_8_id[cache_size=0.01,treshold=0.5] 48.7494 -2.30582
LR_7_id[cache_size=0.01,treshold=0.5] 48.7279 -2.30651
LR_7[cache_size=0.01,treshold=0.6] 46.1229 -2.44125
LR_6_imba[cache_size=0.2,treshold=0.5] 35.6239 -2.44872
LR_5_imba[cache_size=0.2,treshold=0.5] 35.5958 -2.45239
LR_8[cache_size=0.01,treshold=0.6] 46.3289 -2.45566
LR_9[cache_size=0.01,treshold=0.6] 46.5781 -2.47012
LR_6_imba[cache_size=0.1,treshold=0.5] 38.4297 -2.51815
LR_5_imba[cache_size=0.1,treshold=0.5] 38.423 -2.519
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1836 -2.52376
LR_7_id[cache_size=0.2,treshold=0.5] 51.5158 -2.65949
LR_9_id[cache_size=0.2,treshold=0.5] 51.524 -2.66041
LR_8_id[cache_size=0.2,treshold=0.5] 51.5261 -2.66316
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2247 -2.74403
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.232 -2.74502
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2332 -2.74516
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.4818 -2.74842
LR_9_id[cache_size=0.1,treshold=0.5] 50.5837 -2.83713
LR_1_log[cache_size=0.01,treshold=0.5] 48.9945 -2.83928
LR_8_id[cache_size=0.1,treshold=0.5] 50.5903 -2.84162
LR_7_id[cache_size=0.1,treshold=0.5] 50.601 -2.84237
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 45.2752 -2.84368
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6326 -2.85122
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 45.5614 -2.89287
LR_4_log[cache_size=0.01,treshold=0.5] 50.163 -2.89451
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.1935 -2.90359
LR_9[cache_size=0.4,treshold=0.6] 47.0854 -2.94555
LR_7[cache_size=0.4,treshold=0.6] 47.084 -2.9458
LR_8[cache_size=0.4,treshold=0.6] 47.0807 -2.94584
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.463 -3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.476 -3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4771 -3.02322
LR_6[cache_size=0.01,treshold=0.5] 53.9117 -3.15825
LR_4[cache_size=0.01,treshold=0.5] 53.912 -3.15825
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 53.9127 -3.15835
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 53.9172 -3.15884
LR_5[cache_size=0.01,treshold=0.5] 53.9211 -3.15929
LR_8[cache_size=0.1,treshold=0.6] 47.8003 -3.21493
LR_9[cache_size=0.1,treshold=0.6] 47.8393 -3.21558
LR_7[cache_size=0.1,treshold=0.6] 47.822 -3.21605
LR_7[cache_size=0.2,treshold=0.6] 47.7012 -3.22569
LR_9[cache_size=0.2,treshold=0.6] 47.7314 -3.22844
LR_8[cache_size=0.2,treshold=0.6] 47.7239 -3.23092
LR_1[cache_size=0.01,treshold=0.5] 54.1064 -3.30621
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 54.1129 -3.3066
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 54.116 -3.30715
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 55.4171 -3.38429
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.8748 -3.56093
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.9306 -3.56832
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8274 -3.58441
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8384 -3.58579
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8435 -3.58639
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 52.041 -3.58843
LR_7[cache_size=0.01,treshold=0.5] 58.0713 -3.69388
LR_3[cache_size=0.01,treshold=0.5] 45.6171 -3.69644
LR_8[cache_size=0.01,treshold=0.5] 58.1344 -3.7035
LR_2[cache_size=0.01,treshold=0.5] 45.8099 -3.71727
LR_9[cache_size=0.01,treshold=0.5] 58.3231 -3.72275
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4015 -3.81847
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4566 -3.82595
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.5007 -3.83175
LR_4_mean[cache_size=0.01,treshold=0.5] 54.2102 -3.89573
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8645 -3.89973
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.8949 -3.90385
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9037 -3.90478
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9889 -3.92944
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 51.9079 -4.0083
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 51.9152 -4.0083
LR_4[cache_size=0.1,treshold=0.5] 51.912 -4.00877
LR_6[cache_size=0.1,treshold=0.5] 51.9155 -4.00915
LR_5[cache_size=0.1,treshold=0.5] 51.9285 -4.01223
LR_1_log[cache_size=0.1,treshold=0.5] 50.5391 -4.02327
LR_1_mean[cache_size=0.01,treshold=0.5] 53.5578 -4.03214
LR_4_log[cache_size=0.1,treshold=0.5] 51.4539 -4.04767
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 50.6755 -4.15652
LR_1[cache_size=0.1,treshold=0.5] 50.6794 -4.15709
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 50.6762 -4.15821
LR_6[cache_size=0.2,treshold=0.5] 49.5778 -4.19169
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 49.5778 -4.19169
LR_4[cache_size=0.2,treshold=0.5] 49.5781 -4.19182
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 49.5646 -4.19287
LR_5[cache_size=0.2,treshold=0.5] 49.5672 -4.19562
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 53.4817 -4.23168
LR_6[cache_size=0.4,treshold=0.5] 47.6897 -4.23215
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 47.6895 -4.23389
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 47.6584 -4.24497
LR_5[cache_size=0.4,treshold=0.5] 47.6741 -4.24724
LR_1[cache_size=0.4,treshold=0.5] 47.6513 -4.29553
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 47.6501 -4.29562
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7589 -4.3001
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7763 -4.30289
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7772 -4.30311
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7837 -4.30436
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7894 -4.30519
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7899 -4.3053
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 47.6353 -4.31314
LR_1[cache_size=0.2,treshold=0.5] 48.9053 -4.3518
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 48.9127 -4.35245
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 48.8935 -4.3552
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5403 -4.37488
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.629 -4.38713
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7353 -4.40228
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 55.7177 -4.43714
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 47.8889 -4.467
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 64.4842 -4.47287
LR_4_log[cache_size=0.2,treshold=0.5] 52.3315 -4.50038
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8401 -4.50497
LR_1_log[cache_size=0.2,treshold=0.5] 51.6184 -4.50601
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8637 -4.50903
LR_id[cache_size=0.01,treshold=0.3] 67.564 -4.51092
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8926 -4.51413
LR_4[cache_size=0.4,treshold=0.5] 49.0205 -4.51535
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7806 -4.58258
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7931 -4.58455
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7968 -4.58505
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 44.4708 -4.61241
LR_3_log[cache_size=0.01,treshold=0.5] 57.3967 -4.85106
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 58.189 -4.86864
LR_4_log[cache_size=0.4,treshold=0.5] 53.7639 -4.87695
LR_3_mean[cache_size=0.01,treshold=0.5] 57.1952 -4.87697
LR_1_log[cache_size=0.4,treshold=0.5] 53.5535 -4.89566
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.554 -4.9206
LR_2_log[cache_size=0.01,treshold=0.5] 58.0084 -4.92148
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.7425 -4.94202
LR_2_mean[cache_size=0.01,treshold=0.5] 57.8543 -4.94764
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6407 -4.98057
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 58.2256 -4.99334
LR_8[cache_size=0.1,treshold=0.5] 59.2057 -5.06567
LR_7[cache_size=0.1,treshold=0.5] 59.2233 -5.06717
LR_9[cache_size=0.1,treshold=0.5] 59.249 -5.07025
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.622 -5.10402
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6709 -5.11214
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7078 -5.11803
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 58.1917 -5.12183
LR_7[cache_size=0.4,treshold=0.5] 59.514 -5.15563
LR_9[cache_size=0.4,treshold=0.5] 59.517 -5.15587
LR_8[cache_size=0.4,treshold=0.5] 59.5097 -5.15596
LR_7_id[cache_size=0.01,treshold=0.3] 70.4701 -5.168
LR_8_id[cache_size=0.01,treshold=0.3] 70.5017 -5.17555
LR_9_id[cache_size=0.01,treshold=0.3] 70.5777 -5.18947
LR_8[cache_size=0.2,treshold=0.5] 59.3604 -5.35839
LR_7[cache_size=0.2,treshold=0.5] 59.3682 -5.35865
LR_9[cache_size=0.2,treshold=0.5] 59.3893 -5.36205
LR_2[cache_size=0.1,treshold=0.5] 45.2007 -5.39681
LR_3[cache_size=0.1,treshold=0.5] 45.2031 -5.39718
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8961 -5.41131
LR_id[cache_size=0.4,treshold=0.3] 69.7274 -5.42012
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6383 -5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.6488 -5.60567
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1829 -5.61638
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1882 -5.61713
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1959 -5.61787
LR_8[cache_size=0.01,treshold=0.3] 72.8854 -5.65912
LR_7[cache_size=0.01,treshold=0.3] 72.9017 -5.65936
LR_9[cache_size=0.01,treshold=0.3] 72.8569 -5.66163
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4944 -5.70205
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0488 -5.76842
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0557 -5.7694
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0759 -5.77332
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9144 -5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9235 -5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9266 -5.77488
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2153 -5.79831
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2212 -5.79959
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2248 -5.79999
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 71.9242 -5.92128
LR_2[cache_size=0.2,treshold=0.5] 45.0504 -6.14085
LR_3[cache_size=0.2,treshold=0.5] 45.0553 -6.14164
LR_id[cache_size=0.1,treshold=0.3] 68.7498 -6.19888
LR_id[cache_size=0.2,treshold=0.3] 68.9711 -6.38736
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 49.879 -6.4176
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 66.4598 -6.50747
LR_4_mean[cache_size=0.1,treshold=0.5] 57.538 -6.62484
LR_3[cache_size=0.4,treshold=0.5] 45.4196 -6.64662
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 65.3203 -6.64697
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 61.1787 -6.70264
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2175 -6.84646
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.1503 -6.89457
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.6668 -6.90145
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.2995 -6.90691
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.7165 -6.90761
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0372 -6.96822
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 75.4157 -7.05428
LR_1_mean[cache_size=0.1,treshold=0.5] 56.2282 -7.055
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 66.7151 -7.09966
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 76.1886 -7.12199
LR_3_mean[cache_size=0.1,treshold=0.5] 56.5949 -7.1228
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0453 -7.12607
LR_3_log[cache_size=0.1,treshold=0.5] 56.6872 -7.12663
LR_2_mean[cache_size=0.1,treshold=0.5] 56.6459 -7.13206
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0844 -7.13252
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0929 -7.13524
LR_2_log[cache_size=0.1,treshold=0.5] 56.7391 -7.13589
LR_8_id[cache_size=0.1,treshold=0.3] 71.0216 -7.28869
LR_7_id[cache_size=0.1,treshold=0.3] 71.0385 -7.29356
LR_9_id[cache_size=0.1,treshold=0.3] 71.0446 -7.29402
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4292 -7.39866
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4676 -7.40403
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.52 -7.41083
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1572 -7.43415
LR_4_mean[cache_size=0.2,treshold=0.5] 57.2055 -7.45207
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.524 -7.45393
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.668 -7.47862
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9192 -7.48631
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.7694 -7.4963
LR_8_id[cache_size=0.4,treshold=0.3] 71.2963 -7.61319
LR_9_id[cache_size=0.4,treshold=0.3] 71.3018 -7.61446
LR_7_id[cache_size=0.4,treshold=0.3] 71.3027 -7.61611
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9715 -7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1657 -7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2296 -7.75056
LR_7_id[cache_size=0.2,treshold=0.3] 71.0982 -7.87335
LR_8_id[cache_size=0.2,treshold=0.3] 71.1035 -7.87597
LR_9_id[cache_size=0.2,treshold=0.3] 71.1144 -7.87872
LR_3_log[cache_size=0.2,treshold=0.5] 56.0471 -8.03725
LR_2_log[cache_size=0.2,treshold=0.5] 56.0675 -8.04131
LR_1_mean[cache_size=0.2,treshold=0.5] 56.1236 -8.05794
LR_3_mean[cache_size=0.2,treshold=0.5] 56.1437 -8.06252
LR_2_mean[cache_size=0.2,treshold=0.5] 56.1658 -8.0671
LR_2[cache_size=0.4,treshold=0.5] 52.7129 -8.11281
LR_8[cache_size=0.1,treshold=0.3] 73.4681 -8.15183
LR_7[cache_size=0.1,treshold=0.3] 73.4674 -8.15211
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 83.7029 -8.15401
LR_9[cache_size=0.1,treshold=0.3] 73.4809 -8.15595
LR_4_mean[cache_size=0.4,treshold=0.5] 57.1941 -8.16157
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 72.4722 -8.34428
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2454 -8.40882
LR_2_log[cache_size=0.4,treshold=0.5] 55.5696 -8.49845
LR_3_log[cache_size=0.4,treshold=0.5] 55.5725 -8.4993
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3211 -8.50238
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3465 -8.50762
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.359 -8.50998
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4431 -8.52094
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4443 -8.5213
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4443 -8.5213
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4459 -8.5217
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.451 -8.52293
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4539 -8.52373
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0477 -8.53082
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.78 -8.56731
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7827 -8.56825
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.7945 -8.57124
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6239 -8.62434
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7899 -8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7971 -8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8038 -8.81566
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4422 -8.87027
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7324 -8.89904
LR_1_mean[cache_size=0.4,treshold=0.5] 56.1597 -8.94945
LR_3_mean[cache_size=0.4,treshold=0.5] 56.1545 -8.94963
LR_2_mean[cache_size=0.4,treshold=0.5] 56.1618 -8.9513
LR_8[cache_size=0.2,treshold=0.3] 73.8336 -9.11951
LR_7[cache_size=0.2,treshold=0.3] 73.8544 -9.12527
LR_9[cache_size=0.2,treshold=0.3] 73.8635 -9.12815
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 64.5076 -9.1631
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7632 -9.26993
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8041 -9.27398
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8017 -9.27451
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5391 -9.37374
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6778 -9.38605
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.851 -9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.875 -9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.8963 -9.47873
LR_8[cache_size=0.4,treshold=0.3] 74.2199 -9.51637
LR_7[cache_size=0.4,treshold=0.3] 74.2236 -9.51692
LR_9[cache_size=0.4,treshold=0.3] 74.2265 -9.51777
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2485 -9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2623 -9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2666 -9.68346
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3419 -9.71782
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6426 -9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6494 -9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6559 -9.77845
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.8436 -10.1762
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.902 -10.1886
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9631 -10.2013
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1232 -10.8422
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1355 -10.8426
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 72.6152 -10.9264
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6098 -11.5428
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.734 -11.5741
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7799 -11.5862
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5003 -11.9502
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5073 -11.9522
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5136 -11.954
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5412 -11.9622
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5444 -11.9636
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5453 -11.9638
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1692 -12.5478
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2538 -12.555
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3634 -12.5619
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6089 -12.6307
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7775 -12.6458
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8475 -12.6889
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9649 -12.7181
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 74.5913 -13.9473
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5397 -14.5855
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5787 -14.597
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6088 -14.6065
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4485 -14.8992
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 94.8854 -15.7529
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9029 -16.0751
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 81.0526 -16.2395
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4157 -16.355
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4236 -16.3581
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4333 -16.3617
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6099 -16.4132
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6168 -16.4154
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6267 -16.4201
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 97.4629 -16.5901
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1156 -16.814
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2733 -18.3273
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.1983
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 98.7164 -20.6106
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9816 -20.7376
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0562 -26.0089
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 99.4481 -26.3014
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6094 -26.4262

Cache Size 0.01

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 42.0861 0.362449
Zipf Optimal Distribution 8.83002 0.192773
LR_9_id[cache_size=0.01,treshold=0.9] 9.86908 0.189072
LR_8_id[cache_size=0.01,treshold=0.9] 9.85818 0.188973
LR_7_id[cache_size=0.01,treshold=0.9] 9.85397 0.188923
LR_id[cache_size=0.01,treshold=0.9] 12.6581 0.185814
LR_9_id[cache_size=0.01,treshold=0.8] 15.1723 0.134931
LR_8_id[cache_size=0.01,treshold=0.8] 15.1912 0.134043
LR_7_id[cache_size=0.01,treshold=0.8] 15.2063 0.133204
LR_id[cache_size=0.01,treshold=0.8] 16.3887 0.129996
LR_9[cache_size=0.01,treshold=0.8] 6.39412 0.0833573
LR_8[cache_size=0.01,treshold=0.8] 6.71479 0.0754115
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.45957 0.0745725
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.50028 0.0738815
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.48513 0.0737828
LR_7[cache_size=0.01,treshold=0.8] 6.87683 0.0684527
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 2.97332 0.0661331
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 7.42725 0.0618887
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 2.25761 0.0531039
LR_8[cache_size=0.01,treshold=0.9] 1.35946 0.0346951
LR_9[cache_size=0.01,treshold=0.9] 1.34921 0.0346458
LR_7[cache_size=0.01,treshold=0.9] 1.34513 0.0341523
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 1.27208 0.0323756
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 8.98099 0.0232454
LR_id[cache_size=0.01,treshold=0.7] 20.339 0.0229494
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.696044 0.0179151
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.428901 0.0106603
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0.000226053 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0.000233716 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000427203 -4.93515e-05
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0.00106129 -0.000148054
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0.00113026 -0.000197407
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0114865 -0.00152992
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3862 -0.00458954
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3942 -0.0130289
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3308 -0.0158914
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7919 -0.0307961
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7434 -0.0341521
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7185 -0.0357807
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2225 -0.0982123
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2199 -0.100187
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2268 -0.100828
LR_9_id[cache_size=0.01,treshold=0.7] 22.7714 -0.117361
LR_8_id[cache_size=0.01,treshold=0.7] 22.8741 -0.125406
LR_7_id[cache_size=0.01,treshold=0.7] 22.9407 -0.130687
LR_id[cache_size=0.01,treshold=0.6] 25.2618 -0.177572
LR_id[cache_size=0.01,treshold=0.5] 32.2723 -0.583057
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 24.935 -0.763343
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 25.516 -0.796607
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7411 -0.809192
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7523 -0.810574
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7655 -0.811759
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.1891 -0.835497
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2091 -0.837077
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2134 -0.837669
LR_9_id[cache_size=0.01,treshold=0.6] 34.6808 -0.905974
LR_8_id[cache_size=0.01,treshold=0.6] 34.8694 -0.931193
LR_7_id[cache_size=0.01,treshold=0.6] 34.9701 -0.945456
LR_9[cache_size=0.01,treshold=0.7] 28.6731 -0.998066
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3307 -1.00483
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3519 -1.00769
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.366 -1.00922
LR_8[cache_size=0.01,treshold=0.7] 28.7362 -1.0144
LR_7[cache_size=0.01,treshold=0.7] 28.6839 -1.01845
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 23.0355 -1.69542
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1313 -1.76111
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.139 -1.7621
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1456 -1.76279
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 24.7302 -1.83272
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 25.6791 -1.91144
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 41.5571 -2.01676
LR_5_imba[cache_size=0.01,treshold=0.5] 41.3713 -2.02273
LR_6_imba[cache_size=0.01,treshold=0.5] 41.3892 -2.02407
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.337 -2.0901
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.3326 -2.09025
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3463 -2.09183
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 21.053 -2.11374
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.053 -2.11374
LR_9_id[cache_size=0.01,treshold=0.5] 48.7249 -2.29645
LR_8_id[cache_size=0.01,treshold=0.5] 48.7494 -2.30582
LR_7_id[cache_size=0.01,treshold=0.5] 48.7279 -2.30651
LR_7[cache_size=0.01,treshold=0.6] 46.1229 -2.44125
LR_8[cache_size=0.01,treshold=0.6] 46.3289 -2.45566
LR_9[cache_size=0.01,treshold=0.6] 46.5781 -2.47012
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2247 -2.74403
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.232 -2.74502
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2332 -2.74516
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.4818 -2.74842
LR_1_log[cache_size=0.01,treshold=0.5] 48.9945 -2.83928
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6326 -2.85122
LR_4_log[cache_size=0.01,treshold=0.5] 50.163 -2.89451
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.1935 -2.90359
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.463 -3.02129
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.476 -3.02258
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4771 -3.02322
LR_4[cache_size=0.01,treshold=0.5] 53.912 -3.15825
LR_6[cache_size=0.01,treshold=0.5] 53.9117 -3.15825
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 53.9127 -3.15835
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 53.9172 -3.15884
LR_5[cache_size=0.01,treshold=0.5] 53.9211 -3.15929
LR_1[cache_size=0.01,treshold=0.5] 54.1064 -3.30621
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 54.1129 -3.3066
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 54.116 -3.30715
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 55.4171 -3.38429
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8274 -3.58441
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8384 -3.58579
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8435 -3.58639
LR_7[cache_size=0.01,treshold=0.5] 58.0713 -3.69388
LR_3[cache_size=0.01,treshold=0.5] 45.6171 -3.69644
LR_8[cache_size=0.01,treshold=0.5] 58.1344 -3.7035
LR_2[cache_size=0.01,treshold=0.5] 45.8099 -3.71727
LR_9[cache_size=0.01,treshold=0.5] 58.3231 -3.72275
LR_4_mean[cache_size=0.01,treshold=0.5] 54.2102 -3.89573
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9889 -3.92944
LR_1_mean[cache_size=0.01,treshold=0.5] 53.5578 -4.03214
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 53.4817 -4.23168
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 64.4842 -4.47287
LR_id[cache_size=0.01,treshold=0.3] 67.564 -4.51092
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7806 -4.58258
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7931 -4.58455
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7968 -4.58505
LR_3_log[cache_size=0.01,treshold=0.5] 57.3967 -4.85106
LR_3_mean[cache_size=0.01,treshold=0.5] 57.1952 -4.87697
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.554 -4.9206
LR_2_log[cache_size=0.01,treshold=0.5] 58.0084 -4.92148
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.7425 -4.94202
LR_2_mean[cache_size=0.01,treshold=0.5] 57.8543 -4.94764
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 58.2256 -4.99334
LR_7_id[cache_size=0.01,treshold=0.3] 70.4701 -5.168
LR_8_id[cache_size=0.01,treshold=0.3] 70.5017 -5.17555
LR_9_id[cache_size=0.01,treshold=0.3] 70.5777 -5.18947
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8961 -5.41131
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6383 -5.60354
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.6488 -5.60567
LR_8[cache_size=0.01,treshold=0.3] 72.8854 -5.65912
LR_7[cache_size=0.01,treshold=0.3] 72.9017 -5.65936
LR_9[cache_size=0.01,treshold=0.3] 72.8569 -5.66163
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4944 -5.70205
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 71.9242 -5.92128
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.1503 -6.89457
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.2995 -6.90691
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 75.4157 -7.05428
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 76.1886 -7.12199
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1572 -7.43415
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9192 -7.48631
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 83.7029 -8.15401
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2454 -8.40882
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0477 -8.53082
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6239 -8.62434
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7324 -8.89904

Cache Size 0.1

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.0216 1.84971
LR_id[cache_size=0.1,treshold=0.8] 15.9931 0.94197
LR_id[cache_size=0.1,treshold=0.7] 20.2532 0.910268
Zipf Optimal Distribution 13.1079 0.901478
LR_7_id[cache_size=0.1,treshold=0.8] 14.7701 0.875575
LR_9_id[cache_size=0.1,treshold=0.8] 14.7686 0.875482
LR_8_id[cache_size=0.1,treshold=0.8] 14.7713 0.875108
LR_id[cache_size=0.1,treshold=0.9] 11.988 0.871647
LR_9_id[cache_size=0.1,treshold=0.9] 9.04395 0.737174
LR_7_id[cache_size=0.1,treshold=0.9] 9.03969 0.736986
LR_8_id[cache_size=0.1,treshold=0.9] 9.04009 0.736893
LR_id[cache_size=0.1,treshold=0.6] 25.5405 0.722305
LR_9_id[cache_size=0.1,treshold=0.7] 23.5296 0.628323
LR_7_id[cache_size=0.1,treshold=0.7] 23.5533 0.626827
LR_8_id[cache_size=0.1,treshold=0.7] 23.5571 0.625518
LR_id[cache_size=0.1,treshold=0.5] 33.037 0.191986
LR_9[cache_size=0.1,treshold=0.8] 5.10997 0.105765
LR_7[cache_size=0.1,treshold=0.8] 5.18877 0.104549
LR_8[cache_size=0.1,treshold=0.8] 5.2224 0.104268
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 8.78646 0.0611589
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.0667291 0.00430168
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 11.1922 0.000281158
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 1.55786e-05 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00100663 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0.0001986 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 3.11469e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 1.75254e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8[cache_size=0.1,treshold=0.9] 0.000551015 -0.000280511
LR_7[cache_size=0.1,treshold=0.9] 0.000531545 -0.000280511
LR_9[cache_size=0.1,treshold=0.9] 0.000529597 -0.000280511
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0.000720407 -0.000374034
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0.00154402 -0.000467572
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00442746 -0.000467572
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0.00092874 -0.000467572
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0.00073988 -0.000467572
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.0089115 -0.000561094
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00935943 -0.000935143
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00880064 -0.000935143
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00990655 -0.000935143
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0265186 -0.00252486
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0269041 -0.00252486
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.0264548 -0.00271196
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0362304 -0.00299243
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0300374 -0.0029925
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.193878 -0.0186096
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.325305 -0.0311406
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.904352 -0.0837891
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26179 -0.118577
LR_9_id[cache_size=0.1,treshold=0.6] 36.8594 -0.695653
LR_7_id[cache_size=0.1,treshold=0.6] 36.896 -0.701918
LR_8_id[cache_size=0.1,treshold=0.6] 36.8964 -0.703788
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 29.4509 -1.11694
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 29.9186 -1.15004
LR_9[cache_size=0.1,treshold=0.7] 30.409 -1.21354
LR_7[cache_size=0.1,treshold=0.7] 30.4274 -1.21774
LR_8[cache_size=0.1,treshold=0.7] 30.4185 -1.21887
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.3194 -1.3554
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.212 -1.36157
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.1652 -1.36241
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.538 -1.38055
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.526 -1.38121
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5112 -1.38401
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7606 -1.48959
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7749 -1.49062
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7683 -1.49342
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 19.9158 -2.25491
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 20.0878 -2.26931
LR_6_imba[cache_size=0.1,treshold=0.5] 38.4297 -2.51815
LR_5_imba[cache_size=0.1,treshold=0.5] 38.423 -2.519
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1836 -2.52376
LR_9_id[cache_size=0.1,treshold=0.5] 50.5837 -2.83713
LR_8_id[cache_size=0.1,treshold=0.5] 50.5903 -2.84162
LR_7_id[cache_size=0.1,treshold=0.5] 50.601 -2.84237
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 45.5614 -2.89287
LR_8[cache_size=0.1,treshold=0.6] 47.8003 -3.21493
LR_9[cache_size=0.1,treshold=0.6] 47.8393 -3.21558
LR_7[cache_size=0.1,treshold=0.6] 47.822 -3.21605
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.8748 -3.56093
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.9306 -3.56832
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 52.041 -3.58843
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4015 -3.81847
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4566 -3.82595
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.5007 -3.83175
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8645 -3.89973
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.8949 -3.90385
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9037 -3.90478
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 51.9079 -4.0083
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 51.9152 -4.0083
LR_4[cache_size=0.1,treshold=0.5] 51.912 -4.00877
LR_6[cache_size=0.1,treshold=0.5] 51.9155 -4.00915
LR_5[cache_size=0.1,treshold=0.5] 51.9285 -4.01223
LR_1_log[cache_size=0.1,treshold=0.5] 50.5391 -4.02327
LR_4_log[cache_size=0.1,treshold=0.5] 51.4539 -4.04767
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 50.6755 -4.15652
LR_1[cache_size=0.1,treshold=0.5] 50.6794 -4.15709
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 50.6762 -4.15821
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5403 -4.37488
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.629 -4.38713
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.7353 -4.40228
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 44.4708 -4.61241
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 58.189 -4.86864
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6407 -4.98057
LR_8[cache_size=0.1,treshold=0.5] 59.2057 -5.06567
LR_7[cache_size=0.1,treshold=0.5] 59.2233 -5.06717
LR_9[cache_size=0.1,treshold=0.5] 59.249 -5.07025
LR_2[cache_size=0.1,treshold=0.5] 45.2007 -5.39681
LR_3[cache_size=0.1,treshold=0.5] 45.2031 -5.39718
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1829 -5.61638
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1882 -5.61713
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1959 -5.61787
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9144 -5.77339
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9235 -5.77479
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9266 -5.77488
LR_id[cache_size=0.1,treshold=0.3] 68.7498 -6.19888
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 66.4598 -6.50747
LR_4_mean[cache_size=0.1,treshold=0.5] 57.538 -6.62484
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 61.1787 -6.70264
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2175 -6.84646
LR_1_mean[cache_size=0.1,treshold=0.5] 56.2282 -7.055
LR_3_mean[cache_size=0.1,treshold=0.5] 56.5949 -7.1228
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0453 -7.12607
LR_3_log[cache_size=0.1,treshold=0.5] 56.6872 -7.12663
LR_2_mean[cache_size=0.1,treshold=0.5] 56.6459 -7.13206
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0844 -7.13252
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0929 -7.13524
LR_2_log[cache_size=0.1,treshold=0.5] 56.7391 -7.13589
LR_8_id[cache_size=0.1,treshold=0.3] 71.0216 -7.28869
LR_7_id[cache_size=0.1,treshold=0.3] 71.0385 -7.29356
LR_9_id[cache_size=0.1,treshold=0.3] 71.0446 -7.29402
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.524 -7.45393
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.668 -7.47862
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.7694 -7.4963
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9715 -7.70577
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1657 -7.73943
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2296 -7.75056
LR_8[cache_size=0.1,treshold=0.3] 73.4681 -8.15183
LR_7[cache_size=0.1,treshold=0.3] 73.4674 -8.15211
LR_9[cache_size=0.1,treshold=0.3] 73.4809 -8.15595
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 72.4722 -8.34428
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.78 -8.56731
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7827 -8.56825
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.7945 -8.57124
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.3419 -9.71782
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.8436 -10.1762
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.902 -10.1886
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9631 -10.2013
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6089 -12.6307
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8475 -12.6889
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9649 -12.7181
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 94.8854 -15.7529
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9029 -16.0751
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 97.4629 -16.5901
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1156 -16.814

Cache Size 0.2

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.2203 3.56227
LR_id[cache_size=0.2,treshold=0.7] 20.3176 1.80345
LR_id[cache_size=0.2,treshold=0.6] 26.038 1.70173
LR_id[cache_size=0.2,treshold=0.8] 15.6163 1.69951
Zipf Optimal Distribution 15.0252 1.67385
LR_7_id[cache_size=0.2,treshold=0.8] 14.6428 1.54726
LR_8_id[cache_size=0.2,treshold=0.8] 14.6324 1.5466
LR_9_id[cache_size=0.2,treshold=0.8] 14.631 1.5466
LR_id[cache_size=0.2,treshold=0.9] 11.2311 1.43978
LR_9_id[cache_size=0.2,treshold=0.7] 24.279 1.38781
LR_7_id[cache_size=0.2,treshold=0.7] 24.2932 1.38663
LR_8_id[cache_size=0.2,treshold=0.7] 24.2912 1.3861
LR_id[cache_size=0.2,treshold=0.5] 34.0401 1.15242
LR_7_id[cache_size=0.2,treshold=0.9] 8.22748 1.14522
LR_9_id[cache_size=0.2,treshold=0.9] 8.21821 1.14444
LR_8_id[cache_size=0.2,treshold=0.9] 8.21593 1.14405
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 10.4257 0.0244808
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 8.01782 0.0166259
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_7[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99851e-05 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 8.99711e-05 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000145953 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 7.79792e-05 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0.000897685 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000315886 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 3.99885e-06 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.000711758 -0.000130898
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0.00206727 -0.000261868
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00298893 -0.000523631
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.00359077 -0.000654563
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00680156 -0.00104729
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0124336 -0.00196369
LR_7[cache_size=0.2,treshold=0.8] 4.65984 -0.0117823
LR_8[cache_size=0.2,treshold=0.8] 4.79185 -0.012175
LR_9[cache_size=0.2,treshold=0.8] 4.6636 -0.0124369
LR_9_id[cache_size=0.2,treshold=0.6] 38.1582 -0.188253
LR_7_id[cache_size=0.2,treshold=0.6] 38.1612 -0.189169
LR_8_id[cache_size=0.2,treshold=0.6] 38.1722 -0.192704
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.67296 -0.281594
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.85476 -0.300576
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 3.18307 -0.332126
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95124 -0.414208
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13316 -0.435678
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30283 -0.454398
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.42373 -0.468406
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.54327 -0.482151
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.61148 -0.489482
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 28.7917 -0.969407
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 29.1976 -0.975429
LR_7[cache_size=0.2,treshold=0.7] 29.8321 -1.10608
LR_9[cache_size=0.2,treshold=0.7] 29.8537 -1.10778
LR_8[cache_size=0.2,treshold=0.7] 29.9089 -1.1142
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 27.685 -1.58928
LR_6_imba[cache_size=0.2,treshold=0.5] 35.6239 -2.44872
LR_5_imba[cache_size=0.2,treshold=0.5] 35.5958 -2.45239
LR_7_id[cache_size=0.2,treshold=0.5] 51.5158 -2.65949
LR_9_id[cache_size=0.2,treshold=0.5] 51.524 -2.66041
LR_8_id[cache_size=0.2,treshold=0.5] 51.5261 -2.66316
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 45.2752 -2.84368
LR_7[cache_size=0.2,treshold=0.6] 47.7012 -3.22569
LR_9[cache_size=0.2,treshold=0.6] 47.7314 -3.22844
LR_8[cache_size=0.2,treshold=0.6] 47.7239 -3.23092
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 49.5778 -4.19169
LR_6[cache_size=0.2,treshold=0.5] 49.5778 -4.19169
LR_4[cache_size=0.2,treshold=0.5] 49.5781 -4.19182
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 49.5646 -4.19287
LR_5[cache_size=0.2,treshold=0.5] 49.5672 -4.19562
LR_1[cache_size=0.2,treshold=0.5] 48.9053 -4.3518
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 48.9127 -4.35245
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 48.8935 -4.3552
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 47.8889 -4.467
LR_4_log[cache_size=0.2,treshold=0.5] 52.3315 -4.50038
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8401 -4.50497
LR_1_log[cache_size=0.2,treshold=0.5] 51.6184 -4.50601
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8637 -4.50903
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8926 -4.51413
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.622 -5.10402
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6709 -5.11214
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7078 -5.11803
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 58.1917 -5.12183
LR_8[cache_size=0.2,treshold=0.5] 59.3604 -5.35839
LR_7[cache_size=0.2,treshold=0.5] 59.3682 -5.35865
LR_9[cache_size=0.2,treshold=0.5] 59.3893 -5.36205
LR_2[cache_size=0.2,treshold=0.5] 45.0504 -6.14085
LR_3[cache_size=0.2,treshold=0.5] 45.0553 -6.14164
LR_id[cache_size=0.2,treshold=0.3] 68.9711 -6.38736
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 49.879 -6.4176
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.6668 -6.90145
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.7165 -6.90761
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0372 -6.96822
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 66.7151 -7.09966
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4292 -7.39866
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4676 -7.40403
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.52 -7.41083
LR_4_mean[cache_size=0.2,treshold=0.5] 57.2055 -7.45207
LR_7_id[cache_size=0.2,treshold=0.3] 71.0982 -7.87335
LR_8_id[cache_size=0.2,treshold=0.3] 71.1035 -7.87597
LR_9_id[cache_size=0.2,treshold=0.3] 71.1144 -7.87872
LR_3_log[cache_size=0.2,treshold=0.5] 56.0471 -8.03725
LR_2_log[cache_size=0.2,treshold=0.5] 56.0675 -8.04131
LR_1_mean[cache_size=0.2,treshold=0.5] 56.1236 -8.05794
LR_3_mean[cache_size=0.2,treshold=0.5] 56.1437 -8.06252
LR_2_mean[cache_size=0.2,treshold=0.5] 56.1658 -8.0671
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3211 -8.50238
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3465 -8.50762
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.359 -8.50998
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7899 -8.81278
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7971 -8.81409
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.8038 -8.81566
LR_8[cache_size=0.2,treshold=0.3] 73.8336 -9.11951
LR_7[cache_size=0.2,treshold=0.3] 73.8544 -9.12527
LR_9[cache_size=0.2,treshold=0.3] 73.8635 -9.12815
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 64.5076 -9.1631
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7632 -9.26993
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8041 -9.27398
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8017 -9.27451
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5391 -9.37374
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6778 -9.38605
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.851 -9.47467
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.875 -9.47742
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.8963 -9.47873
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1232 -10.8422
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1355 -10.8426
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 72.6152 -10.9264
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6098 -11.5428
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.734 -11.5741
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7799 -11.5862
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1692 -12.5478
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2538 -12.555
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3634 -12.5619
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7775 -12.6458
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5397 -14.5855
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5787 -14.597
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6088 -14.6065
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.1983
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 98.7164 -20.6106
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9816 -20.7376

Cache Size 0.4

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.458 7.79849
LR_id[cache_size=0.4,treshold=0.6] 28.3126 3.83649
LR_id[cache_size=0.4,treshold=0.7] 21.2656 3.67045
Zipf Optimal Distribution 17.0787 3.33504
LR_id[cache_size=0.4,treshold=0.5] 37.6943 3.28269
LR_id[cache_size=0.4,treshold=0.8] 15.1738 3.13165
LR_9_id[cache_size=0.4,treshold=0.7] 26.6774 2.86714
LR_8_id[cache_size=0.4,treshold=0.7] 26.6826 2.86549
LR_7_id[cache_size=0.4,treshold=0.7] 26.701 2.86243
LR_9_id[cache_size=0.4,treshold=0.8] 14.3994 2.71891
LR_7_id[cache_size=0.4,treshold=0.8] 14.4066 2.71871
LR_8_id[cache_size=0.4,treshold=0.8] 14.4004 2.71868
LR_id[cache_size=0.4,treshold=0.9] 9.49727 2.24621
LR_7_id[cache_size=0.4,treshold=0.9] 6.00012 1.46468
LR_9_id[cache_size=0.4,treshold=0.9] 5.9994 1.46459
LR_8_id[cache_size=0.4,treshold=0.9] 5.99889 1.46435
LR_9_id[cache_size=0.4,treshold=0.6] 41.3953 0.991783
LR_8_id[cache_size=0.4,treshold=0.6] 41.3991 0.98913
LR_7_id[cache_size=0.4,treshold=0.6] 41.4208 0.982041
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7[cache_size=0.4,treshold=0.9] 0 0
LR_8[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.00168828 -0.000133728
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.09055 -0.120253
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 6.02358 -0.125092
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.15034 -0.126027
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.16519 -0.127654
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.20582 -0.131868
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.23588 -0.135078
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.2663 -0.138377
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 7.54661 -0.141567
LR_9[cache_size=0.4,treshold=0.8] 6.82601 -0.150239
LR_7[cache_size=0.4,treshold=0.8] 6.83317 -0.150485
LR_8[cache_size=0.4,treshold=0.8] 6.83671 -0.150596
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88232 -0.418322
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88473 -0.418634
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.90405 -0.420886
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9258 -0.423829
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9258 -0.423829
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.94366 -0.426058
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 23.4114 -0.692896
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 23.7677 -0.694368
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05942 -1.0172
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09984 -1.02295
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.11483 -1.02445
LR_9[cache_size=0.4,treshold=0.7] 28.9149 -1.05666
LR_8[cache_size=0.4,treshold=0.7] 28.9221 -1.05682
LR_7[cache_size=0.4,treshold=0.7] 28.9199 -1.05688
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60868 -1.08885
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.66265 -1.09581
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68884 -1.09927
LR_9_id[cache_size=0.4,treshold=0.5] 53.7563 -1.79156
LR_8_id[cache_size=0.4,treshold=0.5] 53.7552 -1.79316
LR_7_id[cache_size=0.4,treshold=0.5] 53.7721 -1.79952
LR_6_imba[cache_size=0.4,treshold=0.5] 30.6156 -1.89866
LR_5_imba[cache_size=0.4,treshold=0.5] 30.4244 -1.90385
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 40.9505 -2.13143
LR_9[cache_size=0.4,treshold=0.6] 47.0854 -2.94555
LR_7[cache_size=0.4,treshold=0.6] 47.084 -2.9458
LR_8[cache_size=0.4,treshold=0.6] 47.0807 -2.94584
LR_6[cache_size=0.4,treshold=0.5] 47.6897 -4.23215
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 47.6895 -4.23389
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 47.6584 -4.24497
LR_5[cache_size=0.4,treshold=0.5] 47.6741 -4.24724
LR_1[cache_size=0.4,treshold=0.5] 47.6513 -4.29553
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 47.6501 -4.29562
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7589 -4.3001
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7763 -4.30289
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7772 -4.30311
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7837 -4.30436
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7894 -4.30519
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7899 -4.3053
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 47.6353 -4.31314
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 55.7177 -4.43714
LR_4[cache_size=0.4,treshold=0.5] 49.0205 -4.51535
LR_4_log[cache_size=0.4,treshold=0.5] 53.7639 -4.87695
LR_1_log[cache_size=0.4,treshold=0.5] 53.5535 -4.89566
LR_7[cache_size=0.4,treshold=0.5] 59.514 -5.15563
LR_9[cache_size=0.4,treshold=0.5] 59.517 -5.15587
LR_8[cache_size=0.4,treshold=0.5] 59.5097 -5.15596
LR_id[cache_size=0.4,treshold=0.3] 69.7274 -5.42012
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0488 -5.76842
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0557 -5.7694
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0759 -5.77332
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2153 -5.79831
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2212 -5.79959
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2248 -5.79999
LR_3[cache_size=0.4,treshold=0.5] 45.4196 -6.64662
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 65.3203 -6.64697
LR_8_id[cache_size=0.4,treshold=0.3] 71.2963 -7.61319
LR_9_id[cache_size=0.4,treshold=0.3] 71.3018 -7.61446
LR_7_id[cache_size=0.4,treshold=0.3] 71.3027 -7.61611
LR_2[cache_size=0.4,treshold=0.5] 52.7129 -8.11281
LR_4_mean[cache_size=0.4,treshold=0.5] 57.1941 -8.16157
LR_2_log[cache_size=0.4,treshold=0.5] 55.5696 -8.49845
LR_3_log[cache_size=0.4,treshold=0.5] 55.5725 -8.4993
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4431 -8.52094
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4443 -8.5213
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4443 -8.5213
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4459 -8.5217
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.451 -8.52293
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4539 -8.52373
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4422 -8.87027
LR_1_mean[cache_size=0.4,treshold=0.5] 56.1597 -8.94945
LR_3_mean[cache_size=0.4,treshold=0.5] 56.1545 -8.94963
LR_2_mean[cache_size=0.4,treshold=0.5] 56.1618 -8.9513
LR_8[cache_size=0.4,treshold=0.3] 74.2199 -9.51637
LR_7[cache_size=0.4,treshold=0.3] 74.2236 -9.51692
LR_9[cache_size=0.4,treshold=0.3] 74.2265 -9.51777
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2485 -9.67989
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2623 -9.6827
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2666 -9.68346
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6426 -9.77468
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6494 -9.7766
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6559 -9.77845
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5003 -11.9502
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5073 -11.9522
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5136 -11.954
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5412 -11.9622
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5444 -11.9636
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5453 -11.9638
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 74.5913 -13.9473
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4485 -14.8992
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 81.0526 -16.2395
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4157 -16.355
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4236 -16.3581
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4333 -16.3617
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6099 -16.4132
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6168 -16.4154
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6267 -16.4201
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2733 -18.3273
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0562 -26.0089
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 99.4481 -26.3014
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6094 -26.4262

Median Promotion vs Miss Ratio

Cache Size All

Model Promotion Reduced (%) Miss Ratio Reduced (%)
LR_id[cache_size=0.4,treshold=0.6] 28.314 3.83623
LR_id[cache_size=0.4,treshold=0.7] 21.2584 3.66773
LR_id[cache_size=0.4,treshold=0.5] 37.674 3.28171
LR_id[cache_size=0.4,treshold=0.8] 15.1759 3.13272
LR_9_id[cache_size=0.4,treshold=0.7] 26.6702 2.86409
LR_8_id[cache_size=0.4,treshold=0.7] 26.6763 2.86331
LR_7_id[cache_size=0.4,treshold=0.7] 26.695 2.8603
LR_9_id[cache_size=0.4,treshold=0.8] 14.4004 2.71648
LR_7_id[cache_size=0.4,treshold=0.8] 14.4071 2.71648
LR_8_id[cache_size=0.4,treshold=0.8] 14.4011 2.71648
LR_id[cache_size=0.4,treshold=0.9] 9.4979 2.24328
Offline Clock 2nd iteration 43.0175 1.84941
LR_id[cache_size=0.2,treshold=0.7] 20.3307 1.8045
LR_id[cache_size=0.2,treshold=0.6] 26.0415 1.70239
LR_id[cache_size=0.2,treshold=0.8] 15.6231 1.69781
LR_7_id[cache_size=0.2,treshold=0.8] 14.6523 1.54793
LR_9_id[cache_size=0.2,treshold=0.8] 14.6409 1.54727
LR_8_id[cache_size=0.2,treshold=0.8] 14.6425 1.54727
LR_9_id[cache_size=0.4,treshold=0.9] 5.99905 1.46695
LR_8_id[cache_size=0.4,treshold=0.9] 5.99871 1.46684
LR_7_id[cache_size=0.4,treshold=0.9] 6.00029 1.46673
LR_id[cache_size=0.2,treshold=0.9] 11.2324 1.43726
LR_9_id[cache_size=0.2,treshold=0.7] 24.2824 1.38888
LR_7_id[cache_size=0.2,treshold=0.7] 24.2965 1.38757
LR_8_id[cache_size=0.2,treshold=0.7] 24.2952 1.38692
LR_id[cache_size=0.2,treshold=0.5] 34.0395 1.15195
LR_7_id[cache_size=0.2,treshold=0.9] 8.22647 1.14405
LR_9_id[cache_size=0.2,treshold=0.9] 8.21678 1.14339
LR_8_id[cache_size=0.2,treshold=0.9] 8.21468 1.14274
LR_9_id[cache_size=0.4,treshold=0.6] 41.399 0.994697
LR_8_id[cache_size=0.4,treshold=0.6] 41.4021 0.991689
LR_7_id[cache_size=0.4,treshold=0.6] 41.4243 0.983666
LR_id[cache_size=0.1,treshold=0.8] 15.9815 0.940729
LR_id[cache_size=0.1,treshold=0.7] 20.2478 0.909847
Zipf Optimal Distribution 13.1121 0.902408
LR_7_id[cache_size=0.1,treshold=0.8] 14.7595 0.873501
LR_9_id[cache_size=0.1,treshold=0.8] 14.7578 0.873501
LR_8_id[cache_size=0.1,treshold=0.8] 14.7608 0.873034
LR_id[cache_size=0.1,treshold=0.9] 11.9846 0.872499
LR_7_id[cache_size=0.1,treshold=0.9] 9.03634 0.737442
LR_9_id[cache_size=0.1,treshold=0.9] 9.0408 0.737442
LR_8_id[cache_size=0.1,treshold=0.9] 9.03697 0.737065
LR_id[cache_size=0.1,treshold=0.6] 25.5375 0.720696
LR_9_id[cache_size=0.1,treshold=0.7] 23.5205 0.62762
LR_7_id[cache_size=0.1,treshold=0.7] 23.5441 0.625751
LR_8_id[cache_size=0.1,treshold=0.7] 23.5474 0.624349
LR_id[cache_size=0.1,treshold=0.5] 33.0343 0.191227
LR_9_id[cache_size=0.01,treshold=0.9] 9.86369 0.189055
LR_8_id[cache_size=0.01,treshold=0.9] 9.85241 0.189055
LR_7_id[cache_size=0.01,treshold=0.9] 9.84721 0.188808
LR_id[cache_size=0.01,treshold=0.9] 12.6583 0.186796
LR_9_id[cache_size=0.01,treshold=0.8] 15.1701 0.135744
LR_8_id[cache_size=0.01,treshold=0.8] 15.1877 0.13451
LR_7_id[cache_size=0.01,treshold=0.8] 15.2028 0.133523
LR_id[cache_size=0.01,treshold=0.8] 16.3857 0.130808
LR_9[cache_size=0.1,treshold=0.8] 5.11123 0.106164
LR_8[cache_size=0.1,treshold=0.8] 5.22281 0.104761
LR_7[cache_size=0.1,treshold=0.8] 5.18922 0.104761
LR_9[cache_size=0.01,treshold=0.8] 6.39562 0.0836508
LR_8[cache_size=0.01,treshold=0.8] 6.71621 0.0752611
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.45973 0.0747779
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.49936 0.0737956
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.48392 0.0737956
LR_7[cache_size=0.01,treshold=0.8] 6.879 0.0693389
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 2.97224 0.066131
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 7.42859 0.0626786
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 8.78731 0.0598178
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 2.2573 0.0530529
LR_8[cache_size=0.01,treshold=0.9] 1.35994 0.034785
LR_9[cache_size=0.01,treshold=0.9] 1.34993 0.0345383
LR_7[cache_size=0.01,treshold=0.9] 1.34701 0.0340449
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 1.27255 0.0320785
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 10.4256 0.0242296
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 8.98582 0.0236887
LR_id[cache_size=0.01,treshold=0.7] 20.3359 0.0229532
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.695142 0.0177702
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 8.02019 0.0144068
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.429108 0.0106082
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.0667113 0.00420793
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0.000214142 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0.000899741 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 6.99798e-05 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000129955 0
LR_9[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_8[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 7.99722e-05 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 2.92038e-05 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.000679926 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_7[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0.000220312 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0.000220247 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 9.73649e-06 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99968e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0.00211991 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.00139621 -0.000111479
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0.0011401 -0.000246702
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0.00116827 -0.000246758
LR_7[cache_size=0.1,treshold=0.9] 0.000525669 -0.000467327
LR_8[cache_size=0.1,treshold=0.9] 0.000545138 -0.000467327
LR_9[cache_size=0.1,treshold=0.9] 0.000525669 -0.000467327
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0.0007205 -0.000467548
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00438992 -0.000467613
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0.000925169 -0.000467613
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0.000749874 -0.000467613
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0.00148926 -0.000467613
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00941253 -0.000467681
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.00361985 -0.000654515
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00978241 -0.000935226
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00924195 -0.000935226
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.0087258 -0.000935226
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00681926 -0.00130859
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0111867 -0.00148085
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 11.1894 -0.00186931
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0125295 -0.00196354
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0260401 -0.0023384
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0264781 -0.0023384
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.0265709 -0.00280568
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0296905 -0.00280568
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0360764 -0.00280609
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_7[cache_size=0.2,treshold=0.8] 4.66176 -0.0124353
LR_8[cache_size=0.2,treshold=0.8] 4.79728 -0.0124358
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_9[cache_size=0.2,treshold=0.8] 4.66471 -0.0130898
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.193242 -0.0187045
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.322731 -0.0308625
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7907 -0.0310978
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7432 -0.0345531
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7203 -0.0362808
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.900935 -0.0837164
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2228 -0.0984765
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2198 -0.100434
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2266 -0.101174
LR_9_id[cache_size=0.01,treshold=0.7] 22.7619 -0.116987
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26404 -0.118793
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.08333 -0.121457
LR_8_id[cache_size=0.01,treshold=0.7] 22.8659 -0.125379
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.14557 -0.126583
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 6.02036 -0.127636
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.16108 -0.128589
LR_7_id[cache_size=0.01,treshold=0.7] 22.9334 -0.130068
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.19918 -0.132489
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.232 -0.134829
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.26079 -0.138172
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 7.55269 -0.146451
LR_9[cache_size=0.4,treshold=0.8] 6.83324 -0.157605
LR_7[cache_size=0.4,treshold=0.8] 6.84329 -0.157828
LR_8[cache_size=0.4,treshold=0.8] 6.84693 -0.158051
LR_id[cache_size=0.01,treshold=0.6] 25.2535 -0.177172
LR_9_id[cache_size=0.2,treshold=0.6] 38.1561 -0.189802
LR_7_id[cache_size=0.2,treshold=0.6] 38.1593 -0.190456
LR_8_id[cache_size=0.2,treshold=0.6] 38.1677 -0.194383
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.6757 -0.280132
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.85546 -0.299182
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 3.17679 -0.330606
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95278 -0.414308
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88183 -0.421301
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.87906 -0.421301
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.90182 -0.422638
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.92493 -0.425535
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.92493 -0.425535
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9441 -0.427763
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13037 -0.436007
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30227 -0.454215
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.42291 -0.467822
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.54304 -0.481562
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.61077 -0.488922
LR_id[cache_size=0.01,treshold=0.5] 32.2721 -0.584438
LR_9_id[cache_size=0.1,treshold=0.6] 36.8537 -0.696317
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 23.7731 -0.699754
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 23.4125 -0.701873
LR_7_id[cache_size=0.1,treshold=0.6] 36.8903 -0.702392
LR_8_id[cache_size=0.1,treshold=0.6] 36.8919 -0.704262
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 24.937 -0.762754
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 25.5143 -0.797055
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7398 -0.810874
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7508 -0.812107
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7628 -0.813588
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.1862 -0.837031
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2059 -0.838541
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.209 -0.838788
LR_9_id[cache_size=0.01,treshold=0.6] 34.6826 -0.906372
LR_8_id[cache_size=0.01,treshold=0.6] 34.8663 -0.931295
LR_7_id[cache_size=0.01,treshold=0.6] 34.9634 -0.944868
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 28.7981 -0.968903
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 29.2006 -0.974141
LR_9[cache_size=0.01,treshold=0.7] 28.6736 -0.998416
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3352 -1.00631
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3568 -1.00952
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.3718 -1.011
LR_8[cache_size=0.01,treshold=0.7] 28.7385 -1.01446
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05079 -1.01836
LR_7[cache_size=0.01,treshold=0.7] 28.6851 -1.0189
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09161 -1.02382
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.10767 -1.02628
LR_9[cache_size=0.4,treshold=0.7] 28.9077 -1.05476
LR_8[cache_size=0.4,treshold=0.7] 28.9133 -1.05498
LR_7[cache_size=0.4,treshold=0.7] 28.9118 -1.0552
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60011 -1.09428
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.65421 -1.10111
LR_7[cache_size=0.2,treshold=0.7] 29.8348 -1.10351
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68025 -1.10456
LR_9[cache_size=0.2,treshold=0.7] 29.8565 -1.10548
LR_8[cache_size=0.2,treshold=0.7] 29.9112 -1.11202
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 29.4519 -1.11589
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 29.9179 -1.1497
LR_9[cache_size=0.1,treshold=0.7] 30.4056 -1.21329
LR_7[cache_size=0.1,treshold=0.7] 30.4225 -1.21703
LR_8[cache_size=0.1,treshold=0.7] 30.4119 -1.21796
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.3142 -1.35431
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.2081 -1.36039
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.1618 -1.36226
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5346 -1.37908
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5238 -1.38002
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5068 -1.38282
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7615 -1.48797
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7767 -1.4889
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7692 -1.49171
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 27.6868 -1.58851
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 23.0339 -1.69454
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1346 -1.75994
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1424 -1.76092
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1473 -1.76166
LR_9_id[cache_size=0.4,treshold=0.5] 53.7463 -1.78827
LR_8_id[cache_size=0.4,treshold=0.5] 53.7448 -1.78961
LR_7_id[cache_size=0.4,treshold=0.5] 53.7617 -1.79585
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 24.7213 -1.83169
LR_6_imba[cache_size=0.4,treshold=0.5] 30.6029 -1.90084
LR_5_imba[cache_size=0.4,treshold=0.5] 30.4108 -1.90786
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 25.6759 -1.90972
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 41.5667 -2.01481
LR_5_imba[cache_size=0.01,treshold=0.5] 41.3662 -2.02151
LR_6_imba[cache_size=0.01,treshold=0.5] 41.384 -2.02295
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.343 -2.08937
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.339 -2.08986
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3529 -2.0911
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0563 -2.11292
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 21.0563 -2.11292
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 40.954 -2.13337
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 19.9197 -2.25358
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 20.085 -2.26807
LR_9_id[cache_size=0.01,treshold=0.5] 48.7273 -2.29665
LR_8_id[cache_size=0.01,treshold=0.5] 48.753 -2.30578
LR_7_id[cache_size=0.01,treshold=0.5] 48.7291 -2.30677
LR_7[cache_size=0.01,treshold=0.6] 46.1218 -2.44002
LR_6_imba[cache_size=0.2,treshold=0.5] 35.6227 -2.44975
LR_5_imba[cache_size=0.2,treshold=0.5] 35.5945 -2.45302
LR_8[cache_size=0.01,treshold=0.6] 46.3244 -2.45458
LR_9[cache_size=0.01,treshold=0.6] 46.5806 -2.46815
LR_6_imba[cache_size=0.1,treshold=0.5] 38.418 -2.51774
LR_5_imba[cache_size=0.1,treshold=0.5] 38.4113 -2.51868
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1838 -2.52335
LR_7_id[cache_size=0.2,treshold=0.5] 51.5201 -2.6599
LR_9_id[cache_size=0.2,treshold=0.5] 51.5294 -2.66102
LR_8_id[cache_size=0.2,treshold=0.5] 51.5302 -2.66364
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2296 -2.7421
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2363 -2.74309
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2382 -2.74334
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.484 -2.74799
LR_9_id[cache_size=0.1,treshold=0.5] 50.5947 -2.83755
LR_1_log[cache_size=0.01,treshold=0.5] 48.9949 -2.83929
LR_8_id[cache_size=0.1,treshold=0.5] 50.6011 -2.84175
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 45.2721 -2.8419
LR_7_id[cache_size=0.1,treshold=0.5] 50.6118 -2.84269
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6337 -2.8504
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 45.562 -2.89088
LR_4_log[cache_size=0.01,treshold=0.5] 50.164 -2.89383
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.195 -2.90345
LR_9[cache_size=0.4,treshold=0.6] 47.09 -2.94567
LR_8[cache_size=0.4,treshold=0.6] 47.0844 -2.94589
LR_7[cache_size=0.4,treshold=0.6] 47.0885 -2.94612
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.4691 -3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.4804 -3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4821 -3.02186
LR_4[cache_size=0.01,treshold=0.5] 53.9113 -3.15861
LR_6[cache_size=0.01,treshold=0.5] 53.9102 -3.15861
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 53.9113 -3.15885
LR_5[cache_size=0.01,treshold=0.5] 53.9193 -3.15935
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 53.9157 -3.15935
LR_8[cache_size=0.1,treshold=0.6] 47.8032 -3.21486
LR_9[cache_size=0.1,treshold=0.6] 47.8454 -3.21626
LR_7[cache_size=0.1,treshold=0.6] 47.8263 -3.21626
LR_7[cache_size=0.2,treshold=0.6] 47.7035 -3.22357
LR_9[cache_size=0.2,treshold=0.6] 47.7346 -3.22619
LR_8[cache_size=0.2,treshold=0.6] 47.728 -3.22881
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 54.1133 -3.30691
LR_1[cache_size=0.01,treshold=0.5] 54.1065 -3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 54.1168 -3.30741
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 55.4175 -3.38525
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.8849 -3.5601
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.948 -3.56711
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8313 -3.58181
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8414 -3.58267
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8458 -3.58329
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 52.054 -3.5872
LR_7[cache_size=0.01,treshold=0.5] 58.0668 -3.69557
LR_3[cache_size=0.01,treshold=0.5] 45.6197 -3.69733
LR_8[cache_size=0.01,treshold=0.5] 58.1308 -3.70497
LR_2[cache_size=0.01,treshold=0.5] 45.8127 -3.71805
LR_9[cache_size=0.01,treshold=0.5] 58.3185 -3.72372
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.397 -3.81635
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4537 -3.82383
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4972 -3.82944
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8731 -3.89802
LR_4_mean[cache_size=0.01,treshold=0.5] 54.3158 -3.90247
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9047 -3.9027
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9124 -3.90363
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9862 -3.92947
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 51.9215 -4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 51.9286 -4.00639
LR_4[cache_size=0.1,treshold=0.5] 51.9257 -4.00686
LR_6[cache_size=0.1,treshold=0.5] 51.9291 -4.00733
LR_5[cache_size=0.1,treshold=0.5] 51.9419 -4.01013
LR_1_log[cache_size=0.1,treshold=0.5] 50.5473 -4.02368
LR_1_mean[cache_size=0.01,treshold=0.5] 53.6823 -4.04288
LR_4_log[cache_size=0.1,treshold=0.5] 51.467 -4.04429
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 50.6831 -4.15594
LR_1[cache_size=0.1,treshold=0.5] 50.6869 -4.1564
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 50.6836 -4.15734
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 49.579 -4.19237
LR_6[cache_size=0.2,treshold=0.5] 49.5788 -4.19237
LR_4[cache_size=0.2,treshold=0.5] 49.5801 -4.19302
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 49.5642 -4.19368
LR_5[cache_size=0.2,treshold=0.5] 49.5682 -4.1963
LR_6[cache_size=0.4,treshold=0.5] 47.6849 -4.22583
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 47.6836 -4.22739
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 53.4827 -4.23204
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 47.6522 -4.23898
LR_5[cache_size=0.4,treshold=0.5] 47.6681 -4.24121
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 47.6458 -4.28925
LR_1[cache_size=0.4,treshold=0.5] 47.6471 -4.28948
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 47.63 -4.30698
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7553 -4.31555
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7715 -4.31778
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7728 -4.31789
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7867 -4.31946
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7803 -4.31946
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7871 -4.31957
LR_1[cache_size=0.2,treshold=0.5] 48.9058 -4.35281
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 48.9129 -4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 48.8944 -4.35608
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5437 -4.37484
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6328 -4.38747
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.741 -4.40196
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 55.7096 -4.44242
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 47.8873 -4.46885
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 64.4867 -4.47239
LR_4_log[cache_size=0.2,treshold=0.5] 52.3282 -4.49624
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8388 -4.50437
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8626 -4.5083
LR_4[cache_size=0.4,treshold=0.5] 49.0172 -4.50886
LR_1_log[cache_size=0.2,treshold=0.5] 51.6212 -4.50932
LR_id[cache_size=0.01,treshold=0.3] 67.5634 -4.50965
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8913 -4.51419
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7732 -4.57924
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7856 -4.58121
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7885 -4.58171
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 44.4691 -4.61329
LR_3_log[cache_size=0.01,treshold=0.5] 57.4004 -4.8497
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 58.1923 -4.87019
LR_3_mean[cache_size=0.01,treshold=0.5] 57.1968 -4.87562
LR_4_log[cache_size=0.4,treshold=0.5] 53.7702 -4.87794
LR_1_log[cache_size=0.4,treshold=0.5] 53.5565 -4.89544
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.5526 -4.91801
LR_2_log[cache_size=0.01,treshold=0.5] 58.0127 -4.92004
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.7425 -4.93997
LR_2_mean[cache_size=0.01,treshold=0.5] 57.8521 -4.94669
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6343 -4.98172
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 58.2289 -4.99062
LR_8[cache_size=0.1,treshold=0.5] 59.2066 -5.06472
LR_7[cache_size=0.1,treshold=0.5] 59.2247 -5.06612
LR_9[cache_size=0.1,treshold=0.5] 59.2495 -5.06939
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6175 -5.10436
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6686 -5.11221
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7041 -5.1181
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 58.1928 -5.1203
LR_9[cache_size=0.4,treshold=0.5] 59.5096 -5.15506
LR_7[cache_size=0.4,treshold=0.5] 59.5067 -5.15518
LR_8[cache_size=0.4,treshold=0.5] 59.5021 -5.15551
LR_7_id[cache_size=0.01,treshold=0.3] 70.4748 -5.16634
LR_8_id[cache_size=0.01,treshold=0.3] 70.506 -5.17349
LR_9_id[cache_size=0.01,treshold=0.3] 70.5787 -5.18756
LR_8[cache_size=0.2,treshold=0.5] 59.3574 -5.35581
LR_7[cache_size=0.2,treshold=0.5] 59.3645 -5.35646
LR_9[cache_size=0.2,treshold=0.5] 59.3861 -5.35997
LR_2[cache_size=0.1,treshold=0.5] 45.1962 -5.3983
LR_3[cache_size=0.1,treshold=0.5] 45.1982 -5.39877
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8992 -5.40919
LR_id[cache_size=0.4,treshold=0.3] 69.7299 -5.42371
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6434 -5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.656 -5.60483
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1871 -5.61264
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1913 -5.61323
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1987 -5.61404
LR_8[cache_size=0.01,treshold=0.3] 72.8871 -5.65639
LR_7[cache_size=0.01,treshold=0.3] 72.9019 -5.65663
LR_9[cache_size=0.01,treshold=0.3] 72.8571 -5.65865
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4977 -5.70079
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9207 -5.76988
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0456 -5.7714
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9312 -5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9337 -5.77175
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0527 -5.77251
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0723 -5.77653
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2133 -5.8015
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2187 -5.80283
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2225 -5.80294
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 71.9266 -5.91937
LR_2[cache_size=0.2,treshold=0.5] 45.0499 -6.14131
LR_3[cache_size=0.2,treshold=0.5] 45.0549 -6.14262
LR_id[cache_size=0.1,treshold=0.3] 68.7494 -6.19818
LR_id[cache_size=0.2,treshold=0.3] 68.9722 -6.38585
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 49.8794 -6.41948
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 66.4702 -6.50592
LR_4_mean[cache_size=0.1,treshold=0.5] 57.5545 -6.62283
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 65.3204 -6.64378
LR_3[cache_size=0.4,treshold=0.5] 45.421 -6.65118
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 61.1887 -6.7014
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2269 -6.84264
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.1536 -6.89317
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.6674 -6.9012
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.305 -6.90569
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.7159 -6.90644
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0391 -6.966
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 75.4193 -7.05223
LR_1_mean[cache_size=0.1,treshold=0.5] 56.234 -7.05716
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 66.7107 -7.09861
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 76.1883 -7.11933
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0476 -7.12355
LR_3_mean[cache_size=0.1,treshold=0.5] 56.597 -7.12355
LR_3_log[cache_size=0.1,treshold=0.5] 56.6925 -7.12823
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.087 -7.12916
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0941 -7.13244
LR_2_mean[cache_size=0.1,treshold=0.5] 56.6496 -7.13291
LR_2_log[cache_size=0.1,treshold=0.5] 56.7443 -7.13758
LR_8_id[cache_size=0.1,treshold=0.3] 71.0133 -7.286
LR_7_id[cache_size=0.1,treshold=0.3] 71.0297 -7.29161
LR_9_id[cache_size=0.1,treshold=0.3] 71.0358 -7.29208
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4299 -7.3964
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4672 -7.40246
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5185 -7.41032
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1548 -7.43189
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.5267 -7.4539
LR_4_mean[cache_size=0.2,treshold=0.5] 57.2024 -7.45427
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.6733 -7.47588
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9232 -7.48519
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.7759 -7.49365
LR_8_id[cache_size=0.4,treshold=0.3] 71.2965 -7.60825
LR_9_id[cache_size=0.4,treshold=0.3] 71.3016 -7.60959
LR_7_id[cache_size=0.4,treshold=0.3] 71.3027 -7.61137
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9793 -7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1682 -7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2324 -7.75181
LR_7_id[cache_size=0.2,treshold=0.3] 71.0998 -7.87185
LR_8_id[cache_size=0.2,treshold=0.3] 71.1053 -7.87446
LR_9_id[cache_size=0.2,treshold=0.3] 71.1161 -7.87708
LR_3_log[cache_size=0.2,treshold=0.5] 56.0493 -8.03613
LR_2_log[cache_size=0.2,treshold=0.5] 56.07 -8.04029
LR_1_mean[cache_size=0.2,treshold=0.5] 56.1234 -8.05928
LR_3_mean[cache_size=0.2,treshold=0.5] 56.142 -8.06386
LR_2_mean[cache_size=0.2,treshold=0.5] 56.1638 -8.06845
LR_2[cache_size=0.4,treshold=0.5] 52.7113 -8.11011
LR_7[cache_size=0.1,treshold=0.3] 73.4736 -8.14887
LR_8[cache_size=0.1,treshold=0.3] 73.4754 -8.14887
LR_9[cache_size=0.1,treshold=0.3] 73.4873 -8.15308
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 83.6977 -8.15315
LR_4_mean[cache_size=0.4,treshold=0.5] 57.1944 -8.16416
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 72.4755 -8.34062
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2447 -8.40943
LR_2_log[cache_size=0.4,treshold=0.5] 55.5757 -8.49391
LR_3_log[cache_size=0.4,treshold=0.5] 55.579 -8.49514
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3199 -8.5013
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3439 -8.50654
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3555 -8.50916
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4419 -8.52503
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4433 -8.52537
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4433 -8.52537
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.445 -8.52548
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4495 -8.52615
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4519 -8.52693
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0474 -8.52986
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7855 -8.56651
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7877 -8.56745
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8 -8.57072
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6227 -8.62364
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7881 -8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7959 -8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.803 -8.81531
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4435 -8.87001
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7316 -8.89709
LR_1_mean[cache_size=0.4,treshold=0.5] 56.1563 -8.94771
LR_3_mean[cache_size=0.4,treshold=0.5] 56.1498 -8.94938
LR_2_mean[cache_size=0.4,treshold=0.5] 56.157 -8.95072
LR_8[cache_size=0.2,treshold=0.3] 73.836 -9.11965
LR_7[cache_size=0.2,treshold=0.3] 73.856 -9.12554
LR_9[cache_size=0.2,treshold=0.3] 73.8653 -9.12816
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 64.5048 -9.16546
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7604 -9.27214
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8017 -9.27607
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7992 -9.27672
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5437 -9.37553
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6811 -9.38602
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8496 -9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8721 -9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.895 -9.48223
LR_8[cache_size=0.4,treshold=0.3] 74.2175 -9.51499
LR_7[cache_size=0.4,treshold=0.3] 74.2211 -9.51555
LR_9[cache_size=0.4,treshold=0.3] 74.2239 -9.51655
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2557 -9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2698 -9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2741 -9.68488
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.341 -9.71514
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6394 -9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6452 -9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6513 -9.78152
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.8426 -10.1767
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9004 -10.1884
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9625 -10.2015
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1218 -10.8437
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1327 -10.8444
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 72.6135 -10.9281
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6096 -11.5432
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7357 -11.5738
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7831 -11.5851
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.4942 -11.9494
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5015 -11.9516
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5077 -11.9527
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5369 -11.9594
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5399 -11.9617
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5409 -11.9617
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1711 -12.5459
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2525 -12.5537
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3625 -12.5608
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6057 -12.6318
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7776 -12.6465
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8441 -12.6879
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9617 -12.7174
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 74.598 -13.9515
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5381 -14.5869
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5759 -14.598
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6057 -14.6078
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4519 -14.9085
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 94.8888 -15.7511
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9036 -16.0733
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 81.0465 -16.2559
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4101 -16.3652
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4182 -16.3686
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4278 -16.3719
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6074 -16.4232
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6126 -16.4254
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6239 -16.4288
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 97.464 -16.5877
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1159 -16.8116
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2719 -18.3383
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.197
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 98.7165 -20.6094
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9811 -20.7363
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0554 -26.0035
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 99.4481 -26.2943
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6089 -26.4192

Cache Size 0.01

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 42.0861 0.361512
Zipf Optimal Distribution 8.82408 0.192718
LR_8_id[cache_size=0.01,treshold=0.9] 9.85241 0.189055
LR_9_id[cache_size=0.01,treshold=0.9] 9.86369 0.189055
LR_7_id[cache_size=0.01,treshold=0.9] 9.84721 0.188808
LR_id[cache_size=0.01,treshold=0.9] 12.6583 0.186796
LR_9_id[cache_size=0.01,treshold=0.8] 15.1701 0.135744
LR_8_id[cache_size=0.01,treshold=0.8] 15.1877 0.13451
LR_7_id[cache_size=0.01,treshold=0.8] 15.2028 0.133523
LR_id[cache_size=0.01,treshold=0.8] 16.3857 0.130808
LR_9[cache_size=0.01,treshold=0.8] 6.39562 0.0836508
LR_8[cache_size=0.01,treshold=0.8] 6.71621 0.0752611
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.45973 0.0747779
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.48392 0.0737956
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 3.49936 0.0737956
LR_7[cache_size=0.01,treshold=0.8] 6.879 0.0693389
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 2.97224 0.066131
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 7.42859 0.0626786
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 2.2573 0.0530529
LR_8[cache_size=0.01,treshold=0.9] 1.35994 0.034785
LR_9[cache_size=0.01,treshold=0.9] 1.34993 0.0345383
LR_7[cache_size=0.01,treshold=0.9] 1.34701 0.0340449
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 1.27255 0.0320785
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 8.98582 0.0236887
LR_id[cache_size=0.01,treshold=0.7] 20.3359 0.0229532
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 0.695142 0.0177702
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 0.429108 0.0106082
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 0.000220247 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 0.000220312 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 0.000430919 0
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.01,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 0.0011401 -0.000246702
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 0.00116827 -0.000246758
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 0.0111867 -0.00148085
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 16.3844 -0.00444255
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 16.3936 -0.012834
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 16.3313 -0.0153021
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7907 -0.0310978
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7432 -0.0345531
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 17.7203 -0.0362808
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2228 -0.0984765
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2198 -0.100434
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 20.2266 -0.101174
LR_9_id[cache_size=0.01,treshold=0.7] 22.7619 -0.116987
LR_8_id[cache_size=0.01,treshold=0.7] 22.8659 -0.125379
LR_7_id[cache_size=0.01,treshold=0.7] 22.9334 -0.130068
LR_id[cache_size=0.01,treshold=0.6] 25.2535 -0.177172
LR_id[cache_size=0.01,treshold=0.5] 32.2721 -0.584438
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 24.937 -0.762754
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 25.5143 -0.797055
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7398 -0.810874
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7508 -0.812107
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 33.7628 -0.813588
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.1862 -0.837031
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.2059 -0.838541
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 34.209 -0.838788
LR_9_id[cache_size=0.01,treshold=0.6] 34.6826 -0.906372
LR_8_id[cache_size=0.01,treshold=0.6] 34.8663 -0.931295
LR_7_id[cache_size=0.01,treshold=0.6] 34.9634 -0.944868
LR_9[cache_size=0.01,treshold=0.7] 28.6736 -0.998416
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 36.3352 -1.00631
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 36.3568 -1.00952
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 36.3718 -1.011
LR_8[cache_size=0.01,treshold=0.7] 28.7385 -1.01446
LR_7[cache_size=0.01,treshold=0.7] 28.6851 -1.0189
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 23.0339 -1.69454
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1346 -1.75994
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1424 -1.76092
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 45.1473 -1.76166
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 24.7213 -1.83169
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 25.6759 -1.90972
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 41.5667 -2.01481
LR_5_imba[cache_size=0.01,treshold=0.5] 41.3662 -2.02151
LR_6_imba[cache_size=0.01,treshold=0.5] 41.384 -2.02295
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 48.343 -2.08937
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 48.339 -2.08986
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 48.3529 -2.0911
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 21.0563 -2.11292
LR_decay_rtime[cache_size=0.01,treshold=0.7] 21.0563 -2.11292
LR_9_id[cache_size=0.01,treshold=0.5] 48.7273 -2.29665
LR_8_id[cache_size=0.01,treshold=0.5] 48.753 -2.30578
LR_7_id[cache_size=0.01,treshold=0.5] 48.7291 -2.30677
LR_7[cache_size=0.01,treshold=0.6] 46.1218 -2.44002
LR_8[cache_size=0.01,treshold=0.6] 46.3244 -2.45458
LR_9[cache_size=0.01,treshold=0.6] 46.5806 -2.46815
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2296 -2.7421
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2363 -2.74309
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 54.2382 -2.74334
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 35.484 -2.74799
LR_1_log[cache_size=0.01,treshold=0.5] 48.9949 -2.83929
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 36.6337 -2.8504
LR_4_log[cache_size=0.01,treshold=0.5] 50.164 -2.89383
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 37.195 -2.90345
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 56.4691 -3.01974
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 56.4804 -3.02112
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 56.4821 -3.02186
LR_4[cache_size=0.01,treshold=0.5] 53.9113 -3.15861
LR_6[cache_size=0.01,treshold=0.5] 53.9102 -3.15861
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 53.9113 -3.15885
LR_5[cache_size=0.01,treshold=0.5] 53.9193 -3.15935
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 53.9157 -3.15935
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 54.1133 -3.30691
LR_1[cache_size=0.01,treshold=0.5] 54.1065 -3.30691
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 54.1168 -3.30741
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 55.4175 -3.38525
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8313 -3.58181
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8414 -3.58267
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 60.8458 -3.58329
LR_7[cache_size=0.01,treshold=0.5] 58.0668 -3.69557
LR_3[cache_size=0.01,treshold=0.5] 45.6197 -3.69733
LR_8[cache_size=0.01,treshold=0.5] 58.1308 -3.70497
LR_2[cache_size=0.01,treshold=0.5] 45.8127 -3.71805
LR_9[cache_size=0.01,treshold=0.5] 58.3185 -3.72372
LR_4_mean[cache_size=0.01,treshold=0.5] 54.3158 -3.90247
LR_decay_rtime[cache_size=0.01,treshold=0.6] 42.9862 -3.92947
LR_1_mean[cache_size=0.01,treshold=0.5] 53.6823 -4.04288
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 53.4827 -4.23204
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 64.4867 -4.47239
LR_id[cache_size=0.01,treshold=0.3] 67.5634 -4.50965
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 67.7732 -4.57924
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 67.7856 -4.58121
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 67.7885 -4.58171
LR_3_log[cache_size=0.01,treshold=0.5] 57.4004 -4.8497
LR_3_mean[cache_size=0.01,treshold=0.5] 57.1968 -4.87562
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.5526 -4.91801
LR_2_log[cache_size=0.01,treshold=0.5] 58.0127 -4.92004
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 57.7425 -4.93997
LR_2_mean[cache_size=0.01,treshold=0.5] 57.8521 -4.94669
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 58.2289 -4.99062
LR_7_id[cache_size=0.01,treshold=0.3] 70.4748 -5.16634
LR_8_id[cache_size=0.01,treshold=0.3] 70.506 -5.17349
LR_9_id[cache_size=0.01,treshold=0.3] 70.5787 -5.18756
LR_decay_rtime[cache_size=0.01,treshold=0.5] 63.8992 -5.40919
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 63.6434 -5.60267
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 63.656 -5.60483
LR_8[cache_size=0.01,treshold=0.3] 72.8871 -5.65639
LR_7[cache_size=0.01,treshold=0.3] 72.9019 -5.65663
LR_9[cache_size=0.01,treshold=0.3] 72.8571 -5.65865
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 64.4977 -5.70079
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 71.9266 -5.91937
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.1536 -6.89317
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 74.305 -6.90569
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 75.4193 -7.05223
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 76.1883 -7.11933
LR_decay_rtime[cache_size=0.01,treshold=0.3] 83.1548 -7.43189
LR_decay_vtime[cache_size=0.01,treshold=0.5] 78.9232 -7.48519
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 83.6977 -8.15315
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 85.2447 -8.40943
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 86.0474 -8.52986
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 86.6227 -8.62364
LR_decay_vtime[cache_size=0.01,treshold=0.3] 88.7316 -8.89709

Cache Size 0.1

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.0175 1.84941
LR_id[cache_size=0.1,treshold=0.8] 15.9815 0.940729
LR_id[cache_size=0.1,treshold=0.7] 20.2478 0.909847
Zipf Optimal Distribution 13.1121 0.902408
LR_7_id[cache_size=0.1,treshold=0.8] 14.7595 0.873501
LR_9_id[cache_size=0.1,treshold=0.8] 14.7578 0.873501
LR_8_id[cache_size=0.1,treshold=0.8] 14.7608 0.873034
LR_id[cache_size=0.1,treshold=0.9] 11.9846 0.872499
LR_9_id[cache_size=0.1,treshold=0.9] 9.0408 0.737442
LR_7_id[cache_size=0.1,treshold=0.9] 9.03634 0.737442
LR_8_id[cache_size=0.1,treshold=0.9] 9.03697 0.737065
LR_id[cache_size=0.1,treshold=0.6] 25.5375 0.720696
LR_9_id[cache_size=0.1,treshold=0.7] 23.5205 0.62762
LR_7_id[cache_size=0.1,treshold=0.7] 23.5441 0.625751
LR_8_id[cache_size=0.1,treshold=0.7] 23.5474 0.624349
LR_id[cache_size=0.1,treshold=0.5] 33.0343 0.191227
LR_9[cache_size=0.1,treshold=0.8] 5.11123 0.106164
LR_8[cache_size=0.1,treshold=0.8] 5.22281 0.104761
LR_7[cache_size=0.1,treshold=0.8] 5.18922 0.104761
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 8.78731 0.0598178
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 0.0667113 0.00420793
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 9.73649e-06 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 0.00109018 0
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0.000214142 0
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 2.92038e-05 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 9.73649e-06 0
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 0 0
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.1,treshold=0.7] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 0 0
LR_9[cache_size=0.1,treshold=0.9] 0.000525669 -0.000467327
LR_7[cache_size=0.1,treshold=0.9] 0.000525669 -0.000467327
LR_8[cache_size=0.1,treshold=0.9] 0.000545138 -0.000467327
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 0.0007205 -0.000467548
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00438992 -0.000467613
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 0.000749874 -0.000467613
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 0.000925169 -0.000467613
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 0.00148926 -0.000467613
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 0.00941253 -0.000467681
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.0087258 -0.000935226
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00978241 -0.000935226
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 0.00924195 -0.000935226
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 11.1894 -0.00186931
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0260401 -0.0023384
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0264781 -0.0023384
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 0.0296905 -0.00280568
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.0265709 -0.00280568
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 0.0360764 -0.00280609
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.193242 -0.0187045
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 0.322731 -0.0308625
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 0.900935 -0.0837164
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 1.26404 -0.118793
LR_9_id[cache_size=0.1,treshold=0.6] 36.8537 -0.696317
LR_7_id[cache_size=0.1,treshold=0.6] 36.8903 -0.702392
LR_8_id[cache_size=0.1,treshold=0.6] 36.8919 -0.704262
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 29.4519 -1.11589
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 29.9179 -1.1497
LR_9[cache_size=0.1,treshold=0.7] 30.4056 -1.21329
LR_7[cache_size=0.1,treshold=0.7] 30.4225 -1.21703
LR_8[cache_size=0.1,treshold=0.7] 30.4119 -1.21796
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.3142 -1.35431
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.2081 -1.36039
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 28.1618 -1.36226
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5346 -1.37908
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5238 -1.38002
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 28.5068 -1.38282
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 29.7615 -1.48797
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 29.7767 -1.4889
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 29.7692 -1.49171
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 19.9197 -2.25358
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 20.085 -2.26807
LR_6_imba[cache_size=0.1,treshold=0.5] 38.418 -2.51774
LR_5_imba[cache_size=0.1,treshold=0.5] 38.4113 -2.51868
LR_decay_rtime[cache_size=0.1,treshold=0.7] 23.1838 -2.52335
LR_9_id[cache_size=0.1,treshold=0.5] 50.5947 -2.83755
LR_8_id[cache_size=0.1,treshold=0.5] 50.6011 -2.84175
LR_7_id[cache_size=0.1,treshold=0.5] 50.6118 -2.84269
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 45.562 -2.89088
LR_8[cache_size=0.1,treshold=0.6] 47.8032 -3.21486
LR_9[cache_size=0.1,treshold=0.6] 47.8454 -3.21626
LR_7[cache_size=0.1,treshold=0.6] 47.8263 -3.21626
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.8849 -3.5601
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 51.948 -3.56711
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 52.054 -3.5872
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.397 -3.81635
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4537 -3.82383
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 34.4972 -3.82944
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 53.8731 -3.89802
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 53.9047 -3.9027
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 53.9124 -3.90363
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 51.9215 -4.00639
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 51.9286 -4.00639
LR_4[cache_size=0.1,treshold=0.5] 51.9257 -4.00686
LR_6[cache_size=0.1,treshold=0.5] 51.9291 -4.00733
LR_5[cache_size=0.1,treshold=0.5] 51.9419 -4.01013
LR_1_log[cache_size=0.1,treshold=0.5] 50.5473 -4.02368
LR_4_log[cache_size=0.1,treshold=0.5] 51.467 -4.04429
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 50.6831 -4.15594
LR_1[cache_size=0.1,treshold=0.5] 50.6869 -4.1564
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 50.6836 -4.15734
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 38.5437 -4.37484
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 38.6328 -4.38747
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 38.741 -4.40196
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 44.4691 -4.61329
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 58.1923 -4.87019
LR_decay_rtime[cache_size=0.1,treshold=0.6] 47.6343 -4.98172
LR_8[cache_size=0.1,treshold=0.5] 59.2066 -5.06472
LR_7[cache_size=0.1,treshold=0.5] 59.2247 -5.06612
LR_9[cache_size=0.1,treshold=0.5] 59.2495 -5.06939
LR_2[cache_size=0.1,treshold=0.5] 45.1962 -5.3983
LR_3[cache_size=0.1,treshold=0.5] 45.1982 -5.39877
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1871 -5.61264
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1913 -5.61323
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 63.1987 -5.61404
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 63.9207 -5.76988
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 63.9312 -5.77165
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 63.9337 -5.77175
LR_id[cache_size=0.1,treshold=0.3] 68.7494 -6.19818
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 66.4702 -6.50592
LR_4_mean[cache_size=0.1,treshold=0.5] 57.5545 -6.62283
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 61.1887 -6.7014
LR_decay_rtime[cache_size=0.1,treshold=0.5] 62.2269 -6.84264
LR_1_mean[cache_size=0.1,treshold=0.5] 56.234 -7.05716
LR_3_mean[cache_size=0.1,treshold=0.5] 56.597 -7.12355
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0476 -7.12355
LR_3_log[cache_size=0.1,treshold=0.5] 56.6925 -7.12823
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.087 -7.12916
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 70.0941 -7.13244
LR_2_mean[cache_size=0.1,treshold=0.5] 56.6496 -7.13291
LR_2_log[cache_size=0.1,treshold=0.5] 56.7443 -7.13758
LR_8_id[cache_size=0.1,treshold=0.3] 71.0133 -7.286
LR_7_id[cache_size=0.1,treshold=0.3] 71.0297 -7.29161
LR_9_id[cache_size=0.1,treshold=0.3] 71.0358 -7.29208
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.5267 -7.4539
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.6733 -7.47588
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 58.7759 -7.49365
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 59.9793 -7.70458
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 60.1682 -7.73918
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 60.2324 -7.75181
LR_7[cache_size=0.1,treshold=0.3] 73.4736 -8.14887
LR_8[cache_size=0.1,treshold=0.3] 73.4754 -8.14887
LR_9[cache_size=0.1,treshold=0.3] 73.4873 -8.15308
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 72.4755 -8.34062
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 75.7855 -8.56651
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 75.7877 -8.56745
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 75.8 -8.57072
LR_decay_rtime[cache_size=0.1,treshold=0.3] 78.341 -9.71514
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.8426 -10.1767
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9004 -10.1884
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 72.9625 -10.2015
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 83.6057 -12.6318
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 83.8441 -12.6879
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 83.9617 -12.7174
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 94.8888 -15.7511
LR_decay_vtime[cache_size=0.1,treshold=0.5] 95.9036 -16.0733
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 97.464 -16.5877
LR_decay_vtime[cache_size=0.1,treshold=0.3] 98.1159 -16.8116

Cache Size 0.2

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.2233 3.56334
LR_id[cache_size=0.2,treshold=0.7] 20.3307 1.8045
LR_id[cache_size=0.2,treshold=0.6] 26.0415 1.70239
LR_id[cache_size=0.2,treshold=0.8] 15.6231 1.69781
Zipf Optimal Distribution 15.0351 1.67163
LR_7_id[cache_size=0.2,treshold=0.8] 14.6523 1.54793
LR_8_id[cache_size=0.2,treshold=0.8] 14.6425 1.54727
LR_9_id[cache_size=0.2,treshold=0.8] 14.6409 1.54727
LR_id[cache_size=0.2,treshold=0.9] 11.2324 1.43726
LR_9_id[cache_size=0.2,treshold=0.7] 24.2824 1.38888
LR_7_id[cache_size=0.2,treshold=0.7] 24.2965 1.38757
LR_8_id[cache_size=0.2,treshold=0.7] 24.2952 1.38692
LR_id[cache_size=0.2,treshold=0.5] 34.0395 1.15195
LR_7_id[cache_size=0.2,treshold=0.9] 8.22647 1.14405
LR_9_id[cache_size=0.2,treshold=0.9] 8.21678 1.14339
LR_8_id[cache_size=0.2,treshold=0.9] 8.21468 1.14274
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 10.4256 0.0242296
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 8.02019 0.0144068
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0.00211991 0
LR_8[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_7[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 2.99968e-05 0
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 7.99722e-05 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 6.99798e-05 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0.000899741 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.000679926 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 0.000319889 0
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 0 0
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.8] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.7] 0 0
LR_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 0 0
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 0 0
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 0 0
LR_9[cache_size=0.2,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 0.000129955 0
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 0 0
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 0.00311966 -0.000654489
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 0.00361985 -0.000654515
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 0.00681926 -0.00130859
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 0.0125295 -0.00196354
LR_7[cache_size=0.2,treshold=0.8] 4.66176 -0.0124353
LR_8[cache_size=0.2,treshold=0.8] 4.79728 -0.0124358
LR_9[cache_size=0.2,treshold=0.8] 4.66471 -0.0130898
LR_9_id[cache_size=0.2,treshold=0.6] 38.1561 -0.189802
LR_7_id[cache_size=0.2,treshold=0.6] 38.1593 -0.190456
LR_8_id[cache_size=0.2,treshold=0.6] 38.1677 -0.194383
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.6757 -0.280132
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 2.85546 -0.299182
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 3.17679 -0.330606
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 3.95278 -0.414308
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 4.13037 -0.436007
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 4.30227 -0.454215
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.42291 -0.467822
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.54304 -0.481562
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 4.61077 -0.488922
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 28.7981 -0.968903
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 29.2006 -0.974141
LR_7[cache_size=0.2,treshold=0.7] 29.8348 -1.10351
LR_9[cache_size=0.2,treshold=0.7] 29.8565 -1.10548
LR_8[cache_size=0.2,treshold=0.7] 29.9112 -1.11202
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 27.6868 -1.58851
LR_6_imba[cache_size=0.2,treshold=0.5] 35.6227 -2.44975
LR_5_imba[cache_size=0.2,treshold=0.5] 35.5945 -2.45302
LR_7_id[cache_size=0.2,treshold=0.5] 51.5201 -2.6599
LR_9_id[cache_size=0.2,treshold=0.5] 51.5294 -2.66102
LR_8_id[cache_size=0.2,treshold=0.5] 51.5302 -2.66364
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 45.2721 -2.8419
LR_7[cache_size=0.2,treshold=0.6] 47.7035 -3.22357
LR_9[cache_size=0.2,treshold=0.6] 47.7346 -3.22619
LR_8[cache_size=0.2,treshold=0.6] 47.728 -3.22881
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 49.579 -4.19237
LR_6[cache_size=0.2,treshold=0.5] 49.5788 -4.19237
LR_4[cache_size=0.2,treshold=0.5] 49.5801 -4.19302
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 49.5642 -4.19368
LR_5[cache_size=0.2,treshold=0.5] 49.5682 -4.1963
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 48.9129 -4.35281
LR_1[cache_size=0.2,treshold=0.5] 48.9058 -4.35281
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 48.8944 -4.35608
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 47.8873 -4.46885
LR_4_log[cache_size=0.2,treshold=0.5] 52.3282 -4.49624
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8388 -4.50437
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8626 -4.5083
LR_1_log[cache_size=0.2,treshold=0.5] 51.6212 -4.50932
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 35.8913 -4.51419
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 39.6175 -5.10436
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 39.6686 -5.11221
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 39.7041 -5.1181
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 58.1928 -5.1203
LR_8[cache_size=0.2,treshold=0.5] 59.3574 -5.35581
LR_7[cache_size=0.2,treshold=0.5] 59.3645 -5.35646
LR_9[cache_size=0.2,treshold=0.5] 59.3861 -5.35997
LR_2[cache_size=0.2,treshold=0.5] 45.0499 -6.14131
LR_3[cache_size=0.2,treshold=0.5] 45.0549 -6.14262
LR_id[cache_size=0.2,treshold=0.3] 68.9722 -6.38585
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 49.8794 -6.41948
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.6674 -6.9012
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 53.7159 -6.90644
LR_decay_rtime[cache_size=0.2,treshold=0.6] 53.0391 -6.966
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 66.7107 -7.09861
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 56.4299 -7.3964
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 56.4672 -7.40246
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 56.5185 -7.41032
LR_4_mean[cache_size=0.2,treshold=0.5] 57.2024 -7.45427
LR_7_id[cache_size=0.2,treshold=0.3] 71.0998 -7.87185
LR_8_id[cache_size=0.2,treshold=0.3] 71.1053 -7.87446
LR_9_id[cache_size=0.2,treshold=0.3] 71.1161 -7.87708
LR_3_log[cache_size=0.2,treshold=0.5] 56.0493 -8.03613
LR_2_log[cache_size=0.2,treshold=0.5] 56.07 -8.04029
LR_1_mean[cache_size=0.2,treshold=0.5] 56.1234 -8.05928
LR_3_mean[cache_size=0.2,treshold=0.5] 56.142 -8.06386
LR_2_mean[cache_size=0.2,treshold=0.5] 56.1638 -8.06845
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3199 -8.5013
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3439 -8.50654
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 58.3555 -8.50916
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 59.7881 -8.81204
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 59.7959 -8.81335
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 59.803 -8.81531
LR_8[cache_size=0.2,treshold=0.3] 73.836 -9.11965
LR_7[cache_size=0.2,treshold=0.3] 73.856 -9.12554
LR_9[cache_size=0.2,treshold=0.3] 73.8653 -9.12816
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 64.5048 -9.16546
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7604 -9.27214
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.8017 -9.27607
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 65.7992 -9.27672
LR_decay_rtime[cache_size=0.2,treshold=0.5] 65.5437 -9.37553
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6811 -9.38602
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 66.8496 -9.47765
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 66.8721 -9.48085
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 66.895 -9.48223
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1218 -10.8437
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 73.1327 -10.8444
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 72.6135 -10.9281
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.6096 -11.5432
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7357 -11.5738
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 71.7831 -11.5851
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 81.1711 -12.5459
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 81.2525 -12.5537
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 81.3625 -12.5608
LR_decay_rtime[cache_size=0.2,treshold=0.3] 79.7776 -12.6465
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 82.5381 -14.5869
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 82.5759 -14.598
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 82.6057 -14.6078
LR_decay_vtime[cache_size=0.2,treshold=0.5] 97.8322 -20.197
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 98.7165 -20.6094
LR_decay_vtime[cache_size=0.2,treshold=0.3] 98.9811 -20.7363

Cache Size 0.4

Model Promotion Reduced (%) Miss Ratio Reduced (%)
Offline Clock 2nd iteration 43.46 7.8007
LR_id[cache_size=0.4,treshold=0.6] 28.314 3.83623
LR_id[cache_size=0.4,treshold=0.7] 21.2584 3.66773
Zipf Optimal Distribution 17.0793 3.33616
LR_id[cache_size=0.4,treshold=0.5] 37.674 3.28171
LR_id[cache_size=0.4,treshold=0.8] 15.1759 3.13272
LR_9_id[cache_size=0.4,treshold=0.7] 26.6702 2.86409
LR_8_id[cache_size=0.4,treshold=0.7] 26.6763 2.86331
LR_7_id[cache_size=0.4,treshold=0.7] 26.695 2.8603
LR_7_id[cache_size=0.4,treshold=0.8] 14.4071 2.71648
LR_9_id[cache_size=0.4,treshold=0.8] 14.4004 2.71648
LR_8_id[cache_size=0.4,treshold=0.8] 14.4011 2.71648
LR_id[cache_size=0.4,treshold=0.9] 9.4979 2.24328
LR_9_id[cache_size=0.4,treshold=0.9] 5.99905 1.46695
LR_8_id[cache_size=0.4,treshold=0.9] 5.99871 1.46684
LR_7_id[cache_size=0.4,treshold=0.9] 6.00029 1.46673
LR_9_id[cache_size=0.4,treshold=0.6] 41.399 0.994697
LR_8_id[cache_size=0.4,treshold=0.6] 41.4021 0.991689
LR_7_id[cache_size=0.4,treshold=0.6] 41.4243 0.983666
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7[cache_size=0.4,treshold=0.9] 0 0
LR_8[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 0 0
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 0 0
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 0 0
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
Offline Clock 1st iteration 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.8] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.6] 0 0
LR_decay_vtime[cache_size=0.4,treshold=0.7] 0 0
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 0 0
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 0.00139621 -0.000111479
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.08333 -0.121457
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.14557 -0.126583
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 6.02036 -0.127636
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 1.16108 -0.128589
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.19918 -0.132489
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.232 -0.134829
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 1.26079 -0.138172
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 7.55269 -0.146451
LR_9[cache_size=0.4,treshold=0.8] 6.83324 -0.157605
LR_7[cache_size=0.4,treshold=0.8] 6.84329 -0.157828
LR_8[cache_size=0.4,treshold=0.8] 6.84693 -0.158051
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.87906 -0.421301
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.88183 -0.421301
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.90182 -0.422638
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 3.92493 -0.425535
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.92493 -0.425535
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 3.9441 -0.427763
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 23.7731 -0.699754
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 23.4125 -0.701873
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 9.05079 -1.01836
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 9.09161 -1.02382
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 9.10767 -1.02628
LR_9[cache_size=0.4,treshold=0.7] 28.9077 -1.05476
LR_8[cache_size=0.4,treshold=0.7] 28.9133 -1.05498
LR_7[cache_size=0.4,treshold=0.7] 28.9118 -1.0552
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 9.60011 -1.09428
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 9.65421 -1.10111
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 9.68025 -1.10456
LR_9_id[cache_size=0.4,treshold=0.5] 53.7463 -1.78827
LR_8_id[cache_size=0.4,treshold=0.5] 53.7448 -1.78961
LR_7_id[cache_size=0.4,treshold=0.5] 53.7617 -1.79585
LR_6_imba[cache_size=0.4,treshold=0.5] 30.6029 -1.90084
LR_5_imba[cache_size=0.4,treshold=0.5] 30.4108 -1.90786
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 40.954 -2.13337
LR_9[cache_size=0.4,treshold=0.6] 47.09 -2.94567
LR_8[cache_size=0.4,treshold=0.6] 47.0844 -2.94589
LR_7[cache_size=0.4,treshold=0.6] 47.0885 -2.94612
LR_6[cache_size=0.4,treshold=0.5] 47.6849 -4.22583
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 47.6836 -4.22739
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 47.6522 -4.23898
LR_5[cache_size=0.4,treshold=0.5] 47.6681 -4.24121
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 47.6458 -4.28925
LR_1[cache_size=0.4,treshold=0.5] 47.6471 -4.28948
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 47.63 -4.30698
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7553 -4.31555
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7715 -4.31778
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7728 -4.31789
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7803 -4.31946
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7867 -4.31946
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 32.7871 -4.31957
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 55.7096 -4.44242
LR_4[cache_size=0.4,treshold=0.5] 49.0172 -4.50886
LR_4_log[cache_size=0.4,treshold=0.5] 53.7702 -4.87794
LR_1_log[cache_size=0.4,treshold=0.5] 53.5565 -4.89544
LR_9[cache_size=0.4,treshold=0.5] 59.5096 -5.15506
LR_7[cache_size=0.4,treshold=0.5] 59.5067 -5.15518
LR_8[cache_size=0.4,treshold=0.5] 59.5021 -5.15551
LR_id[cache_size=0.4,treshold=0.3] 69.7299 -5.42371
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 41.0456 -5.7714
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 41.0527 -5.77251
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 41.0723 -5.77653
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 41.2133 -5.8015
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 41.2187 -5.80283
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 41.2225 -5.80294
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 65.3204 -6.64378
LR_3[cache_size=0.4,treshold=0.5] 45.421 -6.65118
LR_8_id[cache_size=0.4,treshold=0.3] 71.2965 -7.60825
LR_9_id[cache_size=0.4,treshold=0.3] 71.3016 -7.60959
LR_7_id[cache_size=0.4,treshold=0.3] 71.3027 -7.61137
LR_2[cache_size=0.4,treshold=0.5] 52.7113 -8.11011
LR_4_mean[cache_size=0.4,treshold=0.5] 57.1944 -8.16416
LR_2_log[cache_size=0.4,treshold=0.5] 55.5757 -8.49391
LR_3_log[cache_size=0.4,treshold=0.5] 55.579 -8.49514
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4419 -8.52503
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4433 -8.52537
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4433 -8.52537
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 54.445 -8.52548
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4495 -8.52615
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 54.4519 -8.52693
LR_decay_rtime[cache_size=0.4,treshold=0.6] 56.4435 -8.87001
LR_1_mean[cache_size=0.4,treshold=0.5] 56.1563 -8.94771
LR_3_mean[cache_size=0.4,treshold=0.5] 56.1498 -8.94938
LR_2_mean[cache_size=0.4,treshold=0.5] 56.157 -8.95072
LR_8[cache_size=0.4,treshold=0.3] 74.2175 -9.51499
LR_7[cache_size=0.4,treshold=0.3] 74.2211 -9.51555
LR_9[cache_size=0.4,treshold=0.3] 74.2239 -9.51655
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 59.2557 -9.68164
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 59.2698 -9.68432
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 59.2741 -9.68488
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 59.6394 -9.77829
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 59.6452 -9.78019
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 59.6513 -9.78152
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.4942 -11.9494
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5015 -11.9516
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5077 -11.9527
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5369 -11.9594
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5399 -11.9617
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 67.5409 -11.9617
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 74.598 -13.9515
LR_decay_rtime[cache_size=0.4,treshold=0.5] 77.4519 -14.9085
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 81.0465 -16.2559
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 80.4101 -16.3652
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 80.4182 -16.3686
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 80.4278 -16.3719
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 80.6074 -16.4232
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 80.6126 -16.4254
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 80.6239 -16.4288
LR_decay_rtime[cache_size=0.4,treshold=0.3] 86.2719 -18.3383
LR_decay_vtime[cache_size=0.4,treshold=0.5] 99.0554 -26.0035
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 99.4481 -26.2943
LR_decay_vtime[cache_size=0.4,treshold=0.3] 99.6089 -26.4192

Model Classification Report

LR_1

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.7399302402666731

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676230637060296

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765185523860557

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7780763587975718

LR_1_log

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.73      0.78  30231476
           1       0.66      0.78      0.71  19809713

    accuracy                           0.75  50041189
   macro avg       0.75      0.76      0.75  50041189
weighted avg       0.77      0.75      0.75  50041189

Accuracy: 0.751373373642261

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.66      0.81      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.761670193075413

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.72      0.79  28400293
           1       0.65      0.83      0.73  17762125

    accuracy                           0.76  46162418
   macro avg       0.76      0.77      0.76  46162418
weighted avg       0.79      0.76      0.77  46162418

Accuracy: 0.7624651507639829

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.88      0.71      0.79  26121772
           1       0.61      0.83      0.71  14505950

    accuracy                           0.75  40627722
   macro avg       0.75      0.77      0.75  40627722
weighted avg       0.79      0.75      0.76  40627722

Accuracy: 0.7535204164289595

LR_1_mean

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.66      0.73  30231476
           1       0.60      0.76      0.67  19809713

    accuracy                           0.70  50041189
   macro avg       0.70      0.71      0.70  50041189
weighted avg       0.73      0.70      0.71  50041189

Accuracy: 0.7019766456788227

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.7043372143416672

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7203463865346048

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7424505612202427

LR_1_robust_scaler

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.7398954289435449

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676340283530849

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765035618368171

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7780789678535263

LR_1_std_scaler

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.68      0.76  30231476
           1       0.63      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.74      0.76      0.74  50041189
weighted avg       0.77      0.74      0.74  50041189

Accuracy: 0.739903102622122

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.73      0.79  29263977
           1       0.67      0.82      0.74  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.78      0.76  48245967
weighted avg       0.79      0.77      0.77  48245967

Accuracy: 0.7676588387170269

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.81  28400293
           1       0.67      0.81      0.74  17762125

    accuracy                           0.78  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.78      0.78  46162418

Accuracy: 0.7765868113754353

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7782466120054676

LR_2

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.71      0.73  30231476
           1       0.59      0.63      0.61  19809713

    accuracy                           0.68  50041189
   macro avg       0.67      0.67      0.67  50041189
weighted avg       0.68      0.68      0.68  50041189

Accuracy: 0.6778870302222435

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.78      0.73      0.75  29263977
           1       0.62      0.68      0.65  18981990

    accuracy                           0.71  48245967
   macro avg       0.70      0.70      0.70  48245967
weighted avg       0.72      0.71      0.71  48245967

Accuracy: 0.7090260414927532

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.74      0.77  28400293
           1       0.63      0.71      0.67  17762125

    accuracy                           0.73  46162418
   macro avg       0.72      0.72      0.72  46162418
weighted avg       0.74      0.73      0.73  46162418

Accuracy: 0.7284046299307805

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.69      0.77  26121772
           1       0.59      0.78      0.67  14505950

    accuracy                           0.73  40627722
   macro avg       0.72      0.74      0.72  40627722
weighted avg       0.76      0.73      0.73  40627722

Accuracy: 0.726333216516545

LR_2_log

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.61      0.69  30231476
           1       0.56      0.76      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.68  50041189

Accuracy: 0.6719362523540358

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.71  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.71      0.71  48245967

Accuracy: 0.7052470313218098

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.81      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.72      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7193205087307168

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.88      0.69      0.77  26121772
           1       0.59      0.83      0.69  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7374874968377504

LR_2_mean

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.60      0.69  30231476
           1       0.56      0.77      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.67  50041189

Accuracy: 0.6680492943522984

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.7039362896384687

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7202753980521558

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7423285509337688

LR_3

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.71      0.73  30231476
           1       0.59      0.63      0.61  19809713

    accuracy                           0.68  50041189
   macro avg       0.67      0.67      0.67  50041189
weighted avg       0.68      0.68      0.68  50041189

Accuracy: 0.6782051881301222

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.78      0.73      0.75  29263977
           1       0.62      0.68      0.65  18981990

    accuracy                           0.71  48245967
   macro avg       0.70      0.70      0.70  48245967
weighted avg       0.72      0.71      0.71  48245967

Accuracy: 0.7090318243595366

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.74      0.77  28400293
           1       0.63      0.71      0.67  17762125

    accuracy                           0.73  46162418
   macro avg       0.72      0.72      0.72  46162418
weighted avg       0.74      0.73      0.73  46162418

Accuracy: 0.7283977628728201

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.76      0.80  26121772
           1       0.63      0.74      0.68  14505950

    accuracy                           0.75  40627722
   macro avg       0.74      0.75      0.74  40627722
weighted avg       0.77      0.75      0.76  40627722

Accuracy: 0.7534139866370061

LR_3_log

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.62      0.70  30231476
           1       0.57      0.75      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.69      0.67  50041189
weighted avg       0.70      0.67      0.68  50041189

Accuracy: 0.6729913232077679

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.71  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.71      0.71  48245967

Accuracy: 0.7053253798395211

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.81      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.72      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7193616677531927

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.88      0.69      0.77  26121772
           1       0.59      0.83      0.69  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7374562620075031

LR_3_mean

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.61      0.69  30231476
           1       0.56      0.76      0.65  19809713

    accuracy                           0.67  50041189
   macro avg       0.68      0.68      0.67  50041189
weighted avg       0.70      0.67      0.67  50041189

Accuracy: 0.6690288873831515

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.72  29263977
           1       0.59      0.80      0.68  18981990

    accuracy                           0.70  48245967
   macro avg       0.71      0.72      0.70  48245967
weighted avg       0.74      0.70      0.71  48245967

Accuracy: 0.704026950066106

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  28400293
           1       0.60      0.82      0.69  17762125

    accuracy                           0.72  46162418
   macro avg       0.73      0.74      0.72  46162418
weighted avg       0.75      0.72      0.72  46162418

Accuracy: 0.7203059207167181

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.69      0.77  26121772
           1       0.60      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.74  40627722
weighted avg       0.78      0.74      0.75  40627722

Accuracy: 0.7423466912567729

LR_4

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441577777058814

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597472551436268

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725367852264584

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.81  26121772
           1       0.64      0.80      0.72  14505950

    accuracy                           0.77  40627722
   macro avg       0.76      0.78      0.76  40627722
weighted avg       0.79      0.77      0.78  40627722

Accuracy: 0.7714900924053778

LR_4_log

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.73      0.78  30231476
           1       0.66      0.80      0.72  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.76      0.75  50041189
weighted avg       0.77      0.76      0.76  50041189

Accuracy: 0.7556142600848273

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.79  29263977
           1       0.66      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.77  48245967

Accuracy: 0.7633229529838215

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.72      0.79  28400293
           1       0.65      0.83      0.73  17762125

    accuracy                           0.76  46162418
   macro avg       0.76      0.78      0.76  46162418
weighted avg       0.79      0.76      0.77  46162418

Accuracy: 0.7624388306522418

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.88      0.71      0.79  26121772
           1       0.61      0.83      0.71  14505950

    accuracy                           0.75  40627722
   macro avg       0.75      0.77      0.75  40627722
weighted avg       0.79      0.75      0.76  40627722

Accuracy: 0.7531053303948472

LR_4_mean

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.67      0.74  30231476
           1       0.61      0.80      0.69  19809713

    accuracy                           0.72  50041189
   macro avg       0.72      0.73      0.72  50041189
weighted avg       0.75      0.72      0.72  50041189

Accuracy: 0.7192444607980838

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.66      0.74  29263977
           1       0.61      0.83      0.71  18981990

    accuracy                           0.73  48245967
   macro avg       0.74      0.75      0.72  48245967
weighted avg       0.76      0.73      0.73  48245967

Accuracy: 0.7260401890172499

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.88      0.67      0.76  28400293
           1       0.62      0.85      0.71  17762125

    accuracy                           0.74  46162418
   macro avg       0.75      0.76      0.74  46162418
weighted avg       0.78      0.74      0.74  46162418

Accuracy: 0.7395020555465703

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.68      0.77  26121772
           1       0.59      0.84      0.70  14505950

    accuracy                           0.74  40627722
   macro avg       0.74      0.76      0.73  40627722
weighted avg       0.78      0.74      0.74  40627722

Accuracy: 0.7376153159657831

LR_4_robust_scaler

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441431897231698

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597623652148997

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725374784310475

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.65      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7776418032987427

LR_4_std_scaler

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441570183314389

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597217815118101

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7726121928881629

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7778286461643111

LR_5

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.7441325384974365

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.7597230873204386

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7726382963734698

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.66      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7777381414591741

LR_5_imba

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  30231476
           1       0.69      0.71      0.70  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.75      0.75  50041189
weighted avg       0.76      0.76      0.76  50041189

Accuracy: 0.7600381158009655

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.82      0.81  29263977
           1       0.72      0.70      0.71  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.76      0.76  48245967
weighted avg       0.77      0.77      0.77  48245967

Accuracy: 0.7730094828444417

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.83      0.82  28400293
           1       0.72      0.68      0.70  17762125

    accuracy                           0.77  46162418
   macro avg       0.76      0.76      0.76  46162418
weighted avg       0.77      0.77      0.77  46162418

Accuracy: 0.7742529864878396

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.86      0.83  26121772
           1       0.72      0.64      0.68  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.75      0.76  40627722
weighted avg       0.78      0.78      0.78  40627722

Accuracy: 0.7811903163066835

LR_6

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.69      0.76  30231476
           1       0.64      0.83      0.72  19809713

    accuracy                           0.74  50041189
   macro avg       0.75      0.76      0.74  50041189
weighted avg       0.77      0.74      0.75  50041189

Accuracy: 0.744151862578645

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.86      0.72      0.78  29263977
           1       0.65      0.82      0.73  18981990

    accuracy                           0.76  48245967
   macro avg       0.76      0.77      0.76  48245967
weighted avg       0.78      0.76      0.76  48245967

Accuracy: 0.759735938135513

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.75      0.80  28400293
           1       0.67      0.81      0.73  17762125

    accuracy                           0.77  46162418
   macro avg       0.77      0.78      0.77  46162418
weighted avg       0.79      0.77      0.78  46162418

Accuracy: 0.7725369801902491

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.77      0.82  26121772
           1       0.65      0.80      0.72  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.78      0.77  40627722
weighted avg       0.79      0.78      0.78  40627722

Accuracy: 0.7776248198213033

LR_6_imba

0.01

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  30231476
           1       0.69      0.71      0.70  19809713

    accuracy                           0.76  50041189
   macro avg       0.75      0.75      0.75  50041189
weighted avg       0.76      0.76      0.76  50041189

Accuracy: 0.7600415130024188

0.1

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.82      0.81  29263977
           1       0.72      0.70      0.71  18981990

    accuracy                           0.77  48245967
   macro avg       0.76      0.76      0.76  48245967
weighted avg       0.77      0.77      0.77  48245967

Accuracy: 0.7730505847255585

0.2

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.83      0.82  28400293
           1       0.72      0.68      0.70  17762125

    accuracy                           0.77  46162418
   macro avg       0.76      0.76      0.76  46162418
weighted avg       0.77      0.77      0.77  46162418

Accuracy: 0.7744190523122078

0.4

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.86      0.83  26121772
           1       0.72      0.64      0.68  14505950

    accuracy                           0.78  40627722
   macro avg       0.76      0.75      0.76  40627722
weighted avg       0.78      0.78      0.78  40627722

Accuracy: 0.7814035450966215

LR_7

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.47      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.68  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.68      0.66  49785283

Accuracy: 0.6755959587494963
0-1%
              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6464878150194611
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.726206618128494

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7262065980422368
0-1%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807469744483

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7031807246844353
1-10%
              precision    recall  f1-score   support

           0       0.09      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9303529753157377

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7236905392731355
10-20%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.73  49575563
   macro avg       0.74      0.74      0.73  49575563
weighted avg       0.75      0.73      0.73  49575563

Accuracy: 0.7250804393285458

              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.988637718161579
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7257862959969855

              precision    recall  f1-score   support

           0       0.01      0.00      0.01       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9924482004465545
40-80%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7261369214734018

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           0.99     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      0.99      0.99     65403

Accuracy: 0.9926150176597404
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.99      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9928242621175196
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9891304347826086

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7355653276089643
0-1%
              precision    recall  f1-score   support

           0       0.78      0.76      0.77  27764588
           1       0.62      0.65      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7159792266885637
1-10%
              precision    recall  f1-score   support

           0       0.09      0.05      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.89   4452351

Accuracy: 0.9077972513847179
10-20%
              precision    recall  f1-score   support

           0       0.01      0.02      0.01      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9765948529440037
20-40%
              precision    recall  f1-score   support

           0       0.01      0.03      0.01       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9748755972475177
40-80%
              precision    recall  f1-score   support

           0       0.00      0.05      0.01       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.51      0.49     65403
weighted avg       0.99      0.96      0.98     65403

Accuracy: 0.9638854486797241
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.51      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9545085296506904
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9491584852734923

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.7110544294786875
0-1%
              precision    recall  f1-score   support

           0       0.70      0.88      0.78  27764588
           1       0.68      0.39      0.50  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6968400406917563
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.88      0.91   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.86   4452351

Accuracy: 0.8325159000267499
10-20%
              precision    recall  f1-score   support

           0       0.01      0.06      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.934371767709587
20-40%
              precision    recall  f1-score   support

           0       0.01      0.10      0.01       659
           1       1.00      0.92      0.95    130568

    accuracy                           0.91    131227
   macro avg       0.50      0.51      0.48    131227
weighted avg       0.99      0.91      0.95    131227

Accuracy: 0.9129371242198633
40-80%
              precision    recall  f1-score   support

           0       0.00      0.17      0.01       169
           1       1.00      0.87      0.93     65234

    accuracy                           0.87     65403
   macro avg       0.50      0.52      0.47     65403
weighted avg       0.99      0.87      0.93     65403

Accuracy: 0.8724676238093054
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.85      0.92      7371

    accuracy                           0.85      7386
   macro avg       0.50      0.49      0.46      7386
weighted avg       1.00      0.85      0.92      7386

Accuracy: 0.8479555916598971
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.85      0.92      5686

    accuracy                           0.85      5704
   macro avg       0.50      0.59      0.47      5704
weighted avg       0.99      0.85      0.91      5704

Accuracy: 0.8467741935483871

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.90      0.16      0.27  21729815

    accuracy                           0.62  49785283
   macro avg       0.75      0.57      0.51  49785283
weighted avg       0.73      0.62      0.54  49785283

Accuracy: 0.623849602301146
0-1%
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.78      0.05      0.10  17098553

    accuracy                           0.63  44863141
   macro avg       0.70      0.52      0.43  44863141
weighted avg       0.69      0.63      0.51  44863141

Accuracy: 0.6327755785088699
1-10%
              precision    recall  f1-score   support

           0       0.07      0.56      0.13    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.53   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.53      0.64   4452351

Accuracy: 0.5269303790289669
10-20%
              precision    recall  f1-score   support

           0       0.01      0.24      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.76      0.85    260071

Accuracy: 0.7580468410549427
20-40%
              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.66    131227
   macro avg       0.50      0.51      0.40    131227
weighted avg       0.99      0.66      0.79    131227

Accuracy: 0.6645354995542075
40-80%
              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.52      0.69     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.52      0.35     65403
weighted avg       0.99      0.52      0.68     65403

Accuracy: 0.5224072290261914
80-90%
              precision    recall  f1-score   support

           0       0.00      0.47      0.00        15
           1       1.00      0.43      0.60      7371

    accuracy                           0.43      7386
   macro avg       0.50      0.45      0.30      7386
weighted avg       1.00      0.43      0.60      7386

Accuracy: 0.4309504467912266
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.43      0.60      5686

    accuracy                           0.43      5704
   macro avg       0.50      0.49      0.30      5704
weighted avg       0.99      0.43      0.60      5704

Accuracy: 0.42934782608695654

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5762185784903543
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.55      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.58      0.50      0.38  44863141
weighted avg       0.59      0.62      0.47  44863141

Accuracy: 0.6189122602895771
1-10%
              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.14      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18617085670020175
10-20%
              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.30      0.46    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.30700078055607893
20-40%
              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.09      0.16    130568

    accuracy                           0.09    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.09      0.16    131227

Accuracy: 0.08976811174529632
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.004648104826995704
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6900191844087252
0-1%
              precision    recall  f1-score   support

           0       0.97      0.82      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7982386720111745
1-10%
              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.59      0.52  27835287

Accuracy: 0.5850499763124412
10-20%
              precision    recall  f1-score   support

           0       0.28      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8686038463090511
20-40%
              precision    recall  f1-score   support

           0       0.24      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9285036731914862
40-80%
              precision    recall  f1-score   support

           0       0.21      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.59      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.960486302949195
80-90%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9732980747524912
90-100%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.60      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.9748780119724332

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341488131584899
0-1%
              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8825039121737006
1-10%
              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066286919645304

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272601751869847
10-20%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7193548488341718

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.851491233188173
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281251461310321

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9115195005649429
40-80%
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331112802643337

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9423381062397425
80-90%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9538601696281724
90-100%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9559233361839127

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409564124099846
0-1%
              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.9175185534195905
1-10%
              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.63      0.63  27835287
weighted avg       0.63      0.63      0.63  27835287

Accuracy: 0.6313560194295823
10-20%
              precision    recall  f1-score   support

           0       0.18      0.11      0.14    503365
           1       0.88      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8202835061284277
20-40%
              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8809167326514357
40-80%
              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.9104318221892675
80-90%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.9208778096681609
90-100%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.9229538709190603

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148622981956315
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.08      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455314446260144
1-10%
              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.53  14466820

    accuracy                           0.60  27835287
   macro avg       0.62      0.60      0.59  27835287
weighted avg       0.62      0.60      0.59  27835287

Accuracy: 0.5979200430015326
10-20%
              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.7282690581161604
20-40%
              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.83      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7927138650171183
40-80%
              precision    recall  f1-score   support

           0       0.05      0.23      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8195850419795732
80-90%
              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.82    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.82      0.88    124036

Accuracy: 0.8249137347221774
90-100%
              precision    recall  f1-score   support

           0       0.03      0.23      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8263393530861713

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.56      0.49  47734596
weighted avg       0.70      0.60      0.52  47734596

Accuracy: 0.6038039161366318
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588727590033334
1-10%
              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.501558687000425
10-20%
              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33381920039356006
20-40%
              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.4275987729429868
40-80%
              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.46      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4609424945406209
80-90%
              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.46      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.45997936083072655
90-100%
              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.46     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.46      0.61     99395

Accuracy: 0.4557271492529805

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471723275923399
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.95949999645741
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.71      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6928762951350197
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9516461536032784
1-10%
              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.57  24965875
   macro avg       0.65      0.66      0.57  24965875
weighted avg       0.73      0.57      0.58  24965875

Accuracy: 0.574837413068839
10-20%
              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249309383998457
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8415238914138824
40-80%
              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.59      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094703649394562
80-90%
              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372821857687832
90-100%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423667114474705

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366780416056622
0-1%
              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834707033023944
1-10%
              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6595340239426818

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7124767820862923
10-20%
              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.712518065822304

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126819309317497
20-40%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247401606625994

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8197647160667342
40-80%
              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8847226368945804

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344333904847626
80-90%
              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9116280692185483
90-100%
              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9162704025150791

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428696503004277
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929291079928676
1-10%
              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6879438032914929
10-20%
              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6884778517420016
20-40%
              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7854501694199975
40-80%
              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8462534617992384
80-90%
              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.8718816295596308
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8771850340189655

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7165491095954646
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978880405194424
1-10%
              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6978752397021935
10-20%
              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5972331469080221
20-40%
              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6909695177185037
40-80%
              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7465668805640655
80-90%
              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.7704860329349388
90-100%
              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7770625105878367

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.51  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6077220083675418
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991612439340878
1-10%
              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6862760468038873
10-20%
              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3530327917910795
20-40%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.34      0.38   4805513

Accuracy: 0.3438069983371182
40-80%
              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.36      0.52   2483775

    accuracy                           0.39   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.39      0.49   2719684

Accuracy: 0.39309125619005736
80-90%
              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.42    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.42      0.54    315349

Accuracy: 0.42294410319994674
90-100%
              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.55    253829

Accuracy: 0.4295056908391082

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886409980411242
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999606451359001
1-10%
              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7289276775020659
10-20%
              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5069134913427663
20-40%
              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6575001693124678
40-80%
              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7901185158715979
80-90%
              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478683461365778
90-100%
              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.859676790108637

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380616072753698

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.738061632610684
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869
1-10%
              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848070232642121

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.829544095683987
10-20%
              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.751271780225857

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954075128378571
20-40%


              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660275728122294
40-80%
              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347993834512317

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680190578285987
80-90%
              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174316543568034
90-100%
              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274863453574215

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480667761861627
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999993548382935
1-10%
              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.8637388074872066
10-20%
              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6256980925305751
20-40%
              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613833405623831
40-80%
              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355556349631747
80-90%
              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.774581489320762
90-100%
              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.7839235340015606

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.7295214782405881
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877049613662812
10-20%
              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.6289794082815117
20-40%
              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154488971842608
40-80%
              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6527049014352927
80-90%
              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.6739526748666637
90-100%
              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813351539523438

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6486970377291978
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8992394566796966
10-20%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995312309292293
20-40%
              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.4669942100381486
40-80%
              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.42776217418061263
80-90%
              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41582668502045067
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.41608546905948024

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7257623703776074
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7021582149141096
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399844488179

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7663399643625607
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877860714211

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471877637814079
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641813246028246
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.765368897575606

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659750710114251

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7662791952928415

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7768952523580112
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7589012993985419
1-10%
              precision    recall  f1-score   support

           0       0.17      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.55      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9354112018571761
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690147307187146
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7502416070243499
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9345509821665003
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905487347685824
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.6938841544799494
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6780533266718887
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.87      0.90   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.85   4452351

Accuracy: 0.8276360062358067
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.9337411706803143
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.01       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9424661083466055
40-80%
              precision    recall  f1-score   support

           0       0.00      0.09      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.52      0.49     65403
weighted avg       0.99      0.94      0.97     65403

Accuracy: 0.9445744079017782
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.51      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9471974004874086
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9468793828892006

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.7020437336476043
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.8613169948551244
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768599404058596
10-20%
              precision    recall  f1-score   support

           0       0.19      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696427502011881
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9300230934887316
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.96225952735115
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410423668401844
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262818065871635
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132848019980237

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171641054033321
10-20%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7257807007991016

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.855526303005753
20-40%


              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222607349782546
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399509146955248

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582763282228421
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721774323583475
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.974324664218522

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7475041791492275
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442320703747845
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252407959723929
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8300199530205706
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9069602953473538
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9500739220269555
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9668967074075269
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9695055083253685

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.7039990869515267
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548778319922309
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.5969808394646694
10-20%
              precision    recall  f1-score   support

           0       0.15      0.37      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.50   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6523319177132599
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7008588171468799
40-80%
              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7286134759629078
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7386000838466251
90-100%
              precision    recall  f1-score   support

           0       0.03      0.29      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7406609990442176

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.01      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.552428033537772
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.50      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.73      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.72      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4832352905145185
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.02      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.79      0.15      0.07   3890639

Accuracy: 0.14792557212324248
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.09   2117913
weighted avg       0.88      0.10      0.06   2117913

Accuracy: 0.09554736195490561
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.03      0.06   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.06   1105895

Accuracy: 0.06813757183096045
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.03      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.05759618175368442
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.03      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.06     99395

Accuracy: 0.055777453594245185

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.37      0.53  24893266
           1       0.56      0.96      0.70  20563095

    accuracy                           0.64  45456361
   macro avg       0.74      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6376305397609808
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9202958260455594
1-10%
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.4858217867388986
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.11   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.7185424245043991
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8308603056531113
40-80%
              precision    recall  f1-score   support

           0       0.13      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8982889188596911
80-90%
              precision    recall  f1-score   support

           0       0.09      0.03      0.04     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.52      0.51      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9262023979781131
90-100%
              precision    recall  f1-score   support

           0       0.07      0.02      0.04     13620
           1       0.95      0.98      0.96    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.91    253829

Accuracy: 0.9312292921612582

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798656188074536
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682488491450777
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884618504258312

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6505325342984444
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582472891028865

              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.688868879386592
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699577558536256

              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7610044962941521
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8037933818781888

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780667657402337
80-90%
              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8199169808688151
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8239838631519645

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.6992088522000254
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.985867237072731
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6460417269572967
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.38   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6638534843356187
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.55      0.56      0.55   4805513
weighted avg       0.77      0.71      0.74   4805513

Accuracy: 0.7115223702443423
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.738614486094708
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.7480061772829468
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.77      0.86    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.751572909320842

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.547599773769836
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992042991220227
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788619265297131
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.17      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.22      0.50      0.21   7518650
weighted avg       0.20      0.27      0.12   7518650

Accuracy: 0.2736177372267628
20-40%
              precision    recall  f1-score   support

           0       0.15      1.00      0.27    744974
           1       0.12      0.00      0.00   4060539

    accuracy                           0.15   4805513
   macro avg       0.14      0.50      0.13   4805513
weighted avg       0.13      0.15      0.04   4805513

Accuracy: 0.15498303719082646
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.05      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.06      0.09      0.01   2719684

Accuracy: 0.08668433538602278
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058861769024160536
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.11      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.08      0.50      0.05    253829
weighted avg       0.11      0.05      0.01    253829

Accuracy: 0.05360301620382226

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.03      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.29      0.50      0.35  45456361
weighted avg       0.31      0.55      0.39  45456361

Accuracy: 0.5476286366169962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.03      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.35      0.50      0.40  24965875
weighted avg       0.47      0.68      0.55  24965875

Accuracy: 0.6788895642552084
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.07      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.17      0.50      0.21   7518650
weighted avg       0.13      0.27      0.12   7518650

Accuracy: 0.2736504558664122
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502299130186517
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08673875347282993
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058906164281478615
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365423178596614

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6008507142455759
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9673580434568022
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47111714919217546
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.5128106464481073
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608438719902159
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7649380422051496
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8088135166738207
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8173233899525839

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950248891592674

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950249144945815
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.758223778896199

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288291028304541
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012975350623073

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096352039949359
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908919294410815

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628511426930509
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937290414399586

              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080108788438251
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.726632228652625
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304513534601764

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205015996970707
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353681044145719
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560412870859981
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6403670297977121
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.639187977686459
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6372574414233063
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373476982173939

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6930104023252954
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9030441400543899
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.39      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643612098392503
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.55040703183529
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.48414015444781927
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4561112673485196
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4510353520196867

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_rtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  28055468
           1       0.69      0.85      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7702849856251696
0-1%
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  27764588
           1       0.64      0.81      0.71  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.78      0.75      0.76  44863141

Accuracy: 0.7515656115116862
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658346343034748

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658346142172175
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467056976683821

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467056753783691
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9346199345020193

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28052152
           1       0.78      0.63      0.70  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.75      0.75  49315492
weighted avg       0.77      0.76      0.76  49315492

Accuracy: 0.7636711603728905
10-20%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648614096424886

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654689228574205

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.765773712241291

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.94      0.79  28055468
           1       0.85      0.43      0.57  21729815

    accuracy                           0.72  49785283
   macro avg       0.77      0.68      0.68  49785283
weighted avg       0.76      0.72      0.69  49785283

Accuracy: 0.7171359857490416
0-1%
              precision    recall  f1-score   support

           0       0.68      0.95      0.80  27764588
           1       0.78      0.28      0.41  17098553

    accuracy                           0.70  44863141
   macro avg       0.73      0.62      0.60  44863141
weighted avg       0.72      0.70      0.65  44863141

Accuracy: 0.6962432701713863
1-10%
              precision    recall  f1-score   support

           0       0.09      0.06      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.51   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.8991937068753115
10-20%
              precision    recall  f1-score   support

           0       0.03      0.02      0.03      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.51      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.98362754786193
20-40%
              precision    recall  f1-score   support

           0       0.04      0.05      0.04       659
           1       1.00      0.99      0.99    130568

    accuracy                           0.99    131227
   macro avg       0.52      0.52      0.52    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.989796307162398
40-80%
              precision    recall  f1-score   support

           0       0.04      0.08      0.06       169
           1       1.00      1.00      1.00     65234

    accuracy                           0.99     65403
   macro avg       0.52      0.54      0.53     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9926914667522897
80-90%
              precision    recall  f1-score   support

           0       0.03      0.07      0.04        15
           1       1.00      1.00      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.52      0.53      0.52      7386
weighted avg       1.00      0.99      1.00      7386

Accuracy: 0.9940427836447333
90-100%
              precision    recall  f1-score   support

           0       0.13      0.22      0.17        18
           1       1.00      1.00      1.00      5686

    accuracy                           0.99      5704
   macro avg       0.57      0.61      0.58      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9929873772791024

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  28055468
           1       0.94      0.09      0.17  21729815

    accuracy                           0.60  49785283
   macro avg       0.76      0.54      0.45  49785283
weighted avg       0.74      0.60      0.49  49785283

Accuracy: 0.6014690726976484
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.77  27764588
           1       0.84      0.02      0.03  17098553

    accuracy                           0.62  44863141
   macro avg       0.73      0.51      0.40  44863141
weighted avg       0.70      0.62      0.49  44863141

Accuracy: 0.623780376857697
1-10%
              precision    recall  f1-score   support

           0       0.07      0.72      0.13    287564
           1       0.95      0.35      0.51   4164787

    accuracy                           0.37   4452351
   macro avg       0.51      0.54      0.32   4452351
weighted avg       0.89      0.37      0.49   4452351

Accuracy: 0.3730179853295484
10-20%
              precision    recall  f1-score   support

           0       0.01      0.39      0.02      2455
           1       0.99      0.62      0.76    257616

    accuracy                           0.62    260071
   macro avg       0.50      0.51      0.39    260071
weighted avg       0.98      0.62      0.76    260071

Accuracy: 0.6206420554387071
20-40%
              precision    recall  f1-score   support

           0       0.01      0.40      0.01       659
           1       1.00      0.65      0.79    130568

    accuracy                           0.65    131227
   macro avg       0.50      0.53      0.40    131227
weighted avg       0.99      0.65      0.78    131227

Accuracy: 0.6498052992143385
40-80%
              precision    recall  f1-score   support

           0       0.00      0.40      0.01       169
           1       1.00      0.66      0.80     65234

    accuracy                           0.66     65403
   macro avg       0.50      0.53      0.40     65403
weighted avg       1.00      0.66      0.80     65403

Accuracy: 0.6629665305872819
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.66      0.79      7371

    accuracy                           0.66      7386
   macro avg       0.50      0.50      0.40      7386
weighted avg       1.00      0.66      0.79      7386

Accuracy: 0.657324668291362
90-100%
              precision    recall  f1-score   support

           0       0.00      0.44      0.01        18
           1       1.00      0.68      0.81      5686

    accuracy                           0.68      5704
   macro avg       0.50      0.56      0.41      5704
weighted avg       0.99      0.68      0.80      5704

Accuracy: 0.6760168302945302

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.67      0.86      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.742081319804194
0-1%
              precision    recall  f1-score   support

           0       0.97      0.96      0.96  12053010
           1       0.19      0.24      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.60      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9284465281065509
1-10%
              precision    recall  f1-score   support

           0       0.68      0.39      0.50  13368467
           1       0.60      0.83      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.63      0.62      0.60  27835287

Accuracy: 0.6182538013709001
10-20%
              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.85      0.81   3890639

Accuracy: 0.8540707580425735
20-40%
              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9214377549974905
40-80%
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.957853141573115
80-90%
              precision    recall  f1-score   support

           0       0.04      0.01      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9718871940404399
90-100%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9741234468534634

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7008368312156659

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7008368312156659
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552677557198698

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552677557198698
1-10%
              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7063740920735194

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.66      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5940540508887154
10-20%
              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7007614611095442

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6424852061576517
20-40%
              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.7002901825590068

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.72      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6904353483830544
40-80%
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.74      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.7007034662273594

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.97      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.72      0.81   1105895

Accuracy: 0.7180455649044439
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7281192556999581
90-100%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7305397655817697

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26119367
           1       0.77      0.18      0.30  21615229

    accuracy                           0.61  47734596
   macro avg       0.68      0.57      0.51  47734596
weighted avg       0.67      0.61      0.53  47734596

Accuracy: 0.6056801444386374
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.00      0.01    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9591213771743045
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.14      0.24  14466820

    accuracy                           0.52  27835287
   macro avg       0.59      0.53      0.44  27835287
weighted avg       0.59      0.52      0.43  27835287

Accuracy: 0.518705914546525
10-20%
              precision    recall  f1-score   support

           0       0.13      0.75      0.23    503365
           1       0.88      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.51      0.32   3890639
weighted avg       0.78      0.33      0.39   3890639

Accuracy: 0.33185474159900213
20-40%
              precision    recall  f1-score   support

           0       0.07      0.73      0.13    147488
           1       0.94      0.30      0.45   1970425

    accuracy                           0.33   2117913
   macro avg       0.50      0.51      0.29   2117913
weighted avg       0.88      0.33      0.43   2117913

Accuracy: 0.3286985820475156
40-80%
              precision    recall  f1-score   support

           0       0.04      0.72      0.07     41616
           1       0.97      0.31      0.47   1064279

    accuracy                           0.33   1105895
   macro avg       0.50      0.52      0.27   1105895
weighted avg       0.93      0.33      0.46   1105895

Accuracy: 0.3296633043824233
80-90%
              precision    recall  f1-score   support

           0       0.03      0.72      0.05      3093
           1       0.98      0.32      0.48    120943

    accuracy                           0.33    124036
   macro avg       0.50      0.52      0.27    124036
weighted avg       0.95      0.33      0.47    124036

Accuracy: 0.3312102937856751
90-100%
              precision    recall  f1-score   support

           0       0.02      0.71      0.05      2328
           1       0.98      0.32      0.48     97067

    accuracy                           0.33     99395
   macro avg       0.50      0.51      0.26     99395
weighted avg       0.96      0.33      0.47     99395

Accuracy: 0.3289400875295538

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.80      0.56      0.66  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.70      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6820545753761503
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.64      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9698966326947566
1-10%
              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5947781521777226
10-20%
              precision    recall  f1-score   support

           0       0.39      0.26      0.31   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6865985250011638
20-40%
              precision    recall  f1-score   support

           0       0.23      0.24      0.23    744974
           1       0.86      0.85      0.85   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7557752939176317
40-80%
              precision    recall  f1-score   support

           0       0.13      0.24      0.17    235909
           1       0.92      0.85      0.88   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.7966421834301338
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.89    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.811944861090411
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8158484649114167

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.07      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.31      0.50      0.35  45456361
weighted avg       0.33      0.55      0.39  45456361

Accuracy: 0.547626502702229

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.07      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.31      0.50      0.35  45456361
weighted avg       0.33      0.55      0.39  45456361

Accuracy: 0.547626502702229
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.09      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.38      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788877217401753

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.09      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.41      0.50      0.42  29843336
weighted avg       0.56      0.73      0.62  29843336

Accuracy: 0.7312390947178291
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.09      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.36      0.50      0.39  37361986
weighted avg       0.44      0.64      0.50  37361986

Accuracy: 0.6391545138954873

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.09      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.18      0.50      0.21   7518650
weighted avg       0.14      0.27      0.12   7518650

Accuracy: 0.2736485938300094
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.08      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.33      0.50      0.37  42167499
weighted avg       0.37      0.58      0.43  42167499

Accuracy: 0.5839812078966314

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.03      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.09      0.50      0.13   4805513
weighted avg       0.05      0.16      0.04   4805513

Accuracy: 0.15501882941529863
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08673507657507269

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.07      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.31      0.50      0.36  44887183
weighted avg       0.34      0.55      0.39  44887183

Accuracy: 0.5538534017605872
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058899822101861746
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05363847314530649

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7088074013978709
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678910275492999
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299770583391565
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.6623954852495327
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6927723979115796
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7044670741996122
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.7071259228137566

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.683587616280858

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.683587616280858
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159722813863515

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9057259532870916
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174503334805779

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6588110192684434
20-40%


              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5331026565097059
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936915086309932

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.4581060488753896
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4262259291603144
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42065302202748933

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5741258847915098
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.900488829672408
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5723699935857288
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.3542627633916254
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.09   6296625

Accuracy: 0.21252274035693725
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15309868119181183
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.83      0.14      0.05    666440

Accuracy: 0.14104045375427646

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_rtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.90      0.64      0.75  28055468
           1       0.66      0.90      0.76  21729815

    accuracy                           0.75  49785283
   macro avg       0.78      0.77      0.75  49785283
weighted avg       0.79      0.75      0.75  49785283

Accuracy: 0.7543097826721202
0-1%
              precision    recall  f1-score   support

           0       0.90      0.65      0.75  27764588
           1       0.60      0.88      0.72  17098553

    accuracy                           0.73  44863141
   macro avg       0.75      0.76      0.73  44863141
weighted avg       0.78      0.73      0.74  44863141

Accuracy: 0.7338376954034493
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7775125030423148

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.777512523128572
0-1%
              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595866281409053

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595866504309183
1-10%
              precision    recall  f1-score   support

           0       0.17      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.55      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9354076082501133

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.7754602752417029
10-20%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28054607
           1       0.73      0.76      0.75  21520956

    accuracy                           0.78  49575563
   macro avg       0.77      0.77      0.77  49575563
weighted avg       0.78      0.78      0.78  49575563

Accuracy: 0.7765886793862533

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.7771652323555795

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774546522392534

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.63      0.70  21729815

    accuracy                           0.76  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.76      0.76  49785283

Accuracy: 0.7644530211870042
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.53      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.70      0.71  44863141
weighted avg       0.74      0.75      0.73  44863141

Accuracy: 0.7452062484880405
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.934280563235019
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905487347685824
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.66      0.95      0.78  28055468
           1       0.86      0.38      0.53  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.67      0.66  49785283
weighted avg       0.75      0.70      0.67  49785283

Accuracy: 0.7029971889483886
0-1%
              precision    recall  f1-score   support

           0       0.67      0.96      0.79  27764588
           1       0.79      0.23      0.36  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.60      0.58  44863141
weighted avg       0.72      0.68      0.63  44863141

Accuracy: 0.6842199256623606
1-10%
              precision    recall  f1-score   support

           0       0.09      0.12      0.10    287564
           1       0.94      0.92      0.93   4164787

    accuracy                           0.86   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.86      0.87   4452351

Accuracy: 0.864138743778287
10-20%
              precision    recall  f1-score   support

           0       0.01      0.04      0.02      2455
           1       0.99      0.97      0.98    257616

    accuracy                           0.96    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.96      0.97    260071

Accuracy: 0.9649787942523388
20-40%
              precision    recall  f1-score   support

           0       0.01      0.03      0.01       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9727190288583905
40-80%
              precision    recall  f1-score   support

           0       0.00      0.02      0.00       169
           1       1.00      0.98      0.99     65234

    accuracy                           0.98     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      0.98      0.99     65403

Accuracy: 0.9757350580248613
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.98      0.99      7371

    accuracy                           0.98      7386
   macro avg       0.50      0.49      0.49      7386
weighted avg       1.00      0.98      0.99      7386

Accuracy: 0.9777958299485513
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.98      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.50      0.49      0.49      5704
weighted avg       0.99      0.98      0.98      5704

Accuracy: 0.9751051893408135

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.97      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.77      0.50      0.36  49785283
weighted avg       0.74      0.56      0.41  49785283

Accuracy: 0.5640411846207644
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.79      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.70      0.50      0.38  44863141
weighted avg       0.68      0.62      0.47  44863141

Accuracy: 0.6188776661892667
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.97      0.00      0.01   4164787

    accuracy                           0.07   4452351
   macro avg       0.52      0.50      0.06   4452351
weighted avg       0.91      0.07      0.01   4452351

Accuracy: 0.06797846800488101
10-20%
              precision    recall  f1-score   support

           0       0.01      0.98      0.02      2455
           1       0.99      0.02      0.04    257616

    accuracy                           0.03    260071
   macro avg       0.50      0.50      0.03    260071
weighted avg       0.98      0.03      0.04    260071

Accuracy: 0.029099745838636372
20-40%
              precision    recall  f1-score   support

           0       0.00      0.97      0.01       659
           1       0.99      0.02      0.05    130568

    accuracy                           0.03    131227
   macro avg       0.50      0.50      0.03    131227
weighted avg       0.99      0.03      0.05    131227

Accuracy: 0.028248759782666676
40-80%
              precision    recall  f1-score   support

           0       0.00      0.98      0.01       169
           1       1.00      0.03      0.05     65234

    accuracy                           0.03     65403
   macro avg       0.50      0.50      0.03     65403
weighted avg       1.00      0.03      0.05     65403

Accuracy: 0.027766310413895386
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.03      0.05      7371

    accuracy                           0.03      7386
   macro avg       0.50      0.51      0.03      7386
weighted avg       1.00      0.03      0.05      7386

Accuracy: 0.028973734091524504
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.03      0.06      5686

    accuracy                           0.03      5704
   macro avg       0.50      0.51      0.03      5704
weighted avg       1.00      0.03      0.06      5704

Accuracy: 0.032433380084151475

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.89      0.57      0.69  26119367
           1       0.64      0.92      0.75  21615229

    accuracy                           0.73  47734596
   macro avg       0.76      0.74      0.72  47734596
weighted avg       0.78      0.73      0.72  47734596

Accuracy: 0.726402628399746
0-1%
              precision    recall  f1-score   support

           0       0.97      0.93      0.95  12053010
           1       0.17      0.36      0.23    508421

    accuracy                           0.90  12561431
   macro avg       0.57      0.64      0.59  12561431
weighted avg       0.94      0.90      0.92  12561431

Accuracy: 0.9026870425829668
1-10%
              precision    recall  f1-score   support

           0       0.72      0.28      0.40  13368467
           1       0.57      0.90      0.70  14466820

    accuracy                           0.60  27835287
   macro avg       0.65      0.59      0.55  27835287
weighted avg       0.64      0.60      0.56  27835287

Accuracy: 0.6006632157232652
10-20%
              precision    recall  f1-score   support

           0       0.20      0.01      0.02    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.54      0.50      0.48   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8658328361999147
20-40%
              precision    recall  f1-score   support

           0       0.17      0.01      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.55      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9282279300424522
40-80%
              precision    recall  f1-score   support

           0       0.23      0.01      0.02     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.59      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9615686841879202
80-90%
              precision    recall  f1-score   support

           0       0.28      0.01      0.02      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.63      0.51      0.50    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9746041471830759
90-100%
              precision    recall  f1-score   support

           0       0.33      0.01      0.03      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.65      0.51      0.51     99395
weighted avg       0.96      0.98      0.97     99395

Accuracy: 0.9762362291865788

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.746851926849868

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468519059007015
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.55      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464397806269047

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.55      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464397806269047
1-10%
              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7245034113909947

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6243486190747737
10-20%


              precision    recall  f1-score   support

           0       0.16      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.52      0.51      0.51   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8239335492190357
20-40%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7409957963826092

              precision    recall  f1-score   support

           0       0.10      0.05      0.06    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.51      0.51   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9032108495485887
40-80%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.745816988491021

              precision    recall  f1-score   support

           0       0.07      0.03      0.05     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9481225613643248
80-90%
              precision    recall  f1-score   support

           0       0.08      0.03      0.05      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.53      0.51      0.52    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9656631945564191
90-100%
              precision    recall  f1-score   support

           0       0.08      0.03      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9684893606318226

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.52      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.700898421765212
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9553822331229619
1-10%
              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.66      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5939834211157945
10-20%
              precision    recall  f1-score   support

           0       0.15      0.38      0.22    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.52      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.642648675448943
20-40%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.72      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6911435927726965
40-80%
              precision    recall  f1-score   support

           0       0.05      0.33      0.08     41616
           1       0.97      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.72      0.81   1105895

Accuracy: 0.7189886924165495
80-90%
              precision    recall  f1-score   support

           0       0.03      0.34      0.06      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.72946563900803
90-100%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.73      0.83     99395

Accuracy: 0.7317671915086272

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      0.97      0.72  26119367
           1       0.78      0.12      0.20  21615229

    accuracy                           0.58  47734596
   macro avg       0.68      0.54      0.46  47734596
weighted avg       0.67      0.58      0.48  47734596

Accuracy: 0.5848202842232079
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9593859170981396
1-10%
              precision    recall  f1-score   support

           0       0.49      0.96      0.65  13368467
           1       0.68      0.09      0.15  14466820

    accuracy                           0.50  27835287
   macro avg       0.59      0.52      0.40  27835287
weighted avg       0.59      0.50      0.39  27835287

Accuracy: 0.5038834699279372
10-20%
              precision    recall  f1-score   support

           0       0.13      0.84      0.23    503365
           1       0.88      0.18      0.29   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.78      0.26      0.28   3890639

Accuracy: 0.2615213079393899
20-40%
              precision    recall  f1-score   support

           0       0.07      0.82      0.13    147488
           1       0.94      0.20      0.33   1970425

    accuracy                           0.24   2117913
   macro avg       0.50      0.51      0.23   2117913
weighted avg       0.88      0.24      0.31   2117913

Accuracy: 0.24195186487830236
40-80%
              precision    recall  f1-score   support

           0       0.04      0.82      0.07     41616
           1       0.97      0.21      0.35   1064279

    accuracy                           0.23   1105895
   macro avg       0.50      0.51      0.21   1105895
weighted avg       0.93      0.23      0.34   1105895

Accuracy: 0.23316408881494174
80-90%
              precision    recall  f1-score   support

           0       0.03      0.82      0.05      3093
           1       0.98      0.22      0.35    120943

    accuracy                           0.23    124036
   macro avg       0.50      0.52      0.20    124036
weighted avg       0.96      0.23      0.35    124036

Accuracy: 0.2311022606340095
90-100%
              precision    recall  f1-score   support

           0       0.02      0.81      0.05      2328
           1       0.98      0.21      0.35     97067

    accuracy                           0.23     99395
   macro avg       0.50      0.51      0.20     99395
weighted avg       0.96      0.23      0.34     99395

Accuracy: 0.2285929875748277

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.47      0.60  24893266
           1       0.58      0.89      0.70  20563095

    accuracy                           0.66  45456361
   macro avg       0.71      0.68      0.65  45456361
weighted avg       0.72      0.66      0.65  45456361

Accuracy: 0.6619679916744765
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9494417279810131
1-10%
              precision    recall  f1-score   support

           0       0.86      0.39      0.54  16949103
           1       0.40      0.87      0.55   8016772

    accuracy                           0.55  24965875
   macro avg       0.63      0.63      0.54  24965875
weighted avg       0.72      0.55      0.54  24965875

Accuracy: 0.5450460678826599
10-20%
              precision    recall  f1-score   support

           0       0.40      0.17      0.24   2057494
           1       0.74      0.90      0.81   5461156

    accuracy                           0.70   7518650
   macro avg       0.57      0.54      0.53   7518650
weighted avg       0.65      0.70      0.66   7518650

Accuracy: 0.7017706636164737
20-40%
              precision    recall  f1-score   support

           0       0.23      0.15      0.18    744974
           1       0.85      0.91      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.54      0.53      0.53   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7897995489763527
40-80%
              precision    recall  f1-score   support

           0       0.13      0.14      0.14    235909
           1       0.92      0.91      0.91   2483775

    accuracy                           0.84   2719684
   macro avg       0.52      0.53      0.52   2719684
weighted avg       0.85      0.84      0.85   2719684

Accuracy: 0.8415613725712252
80-90%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     18577
           1       0.94      0.91      0.93    296772

    accuracy                           0.86    315349
   macro avg       0.52      0.52      0.52    315349
weighted avg       0.89      0.86      0.88    315349

Accuracy: 0.8618863544834453
90-100%
              precision    recall  f1-score   support

           0       0.08      0.14      0.10     13620
           1       0.95      0.91      0.93    240209

    accuracy                           0.87    253829
   macro avg       0.51      0.52      0.51    253829
weighted avg       0.90      0.87      0.88    253829

Accuracy: 0.8663430892451217

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7002499386169517

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7002499166178304
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884968839320294

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884968839320294
1-10%
              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.48      0.71      0.57   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6567067647338617

              precision    recall  f1-score   support

           0       0.87      0.71      0.78  21822692
           1       0.47      0.71      0.57   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.71      0.68  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7109330203567055
10-20%
              precision    recall  f1-score   support

           0       0.81      0.68      0.74  23880186
           1       0.56      0.72      0.63  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.70  37361986

Accuracy: 0.6992318341963941

              precision    recall  f1-score   support

           0       0.37      0.39      0.38   2057494
           1       0.77      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.66   7518650

Accuracy: 0.6527870029859084
20-40%
              precision    recall  f1-score   support

           0       0.78      0.68      0.72  24625160
           1       0.62      0.73      0.67  17542339

    accuracy                           0.70  42167499
   macro avg       0.70      0.70      0.70  42167499
weighted avg       0.71      0.70      0.70  42167499

Accuracy: 0.6987041370416586

              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.75      0.81   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6946013880307889
40-80%
              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.718435671202978

              precision    recall  f1-score   support

           0       0.76      0.67      0.71  24861069
           1       0.64      0.73      0.69  20026114

    accuracy                           0.70  44887183
   macro avg       0.70      0.70      0.70  44887183
weighted avg       0.71      0.70      0.70  44887183

Accuracy: 0.6998996573253439
80-90%
              precision    recall  f1-score   support

           0       0.08      0.36      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.726541070369654
90-100%
              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7295265710379822

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.10      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476199029658357
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.40      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788819538670285
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.14      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.21      0.50      0.21   7518650
weighted avg       0.18      0.27      0.12   7518650

Accuracy: 0.2736398156583961
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.06      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.11      0.50      0.13   4805513
weighted avg       0.08      0.16      0.04   4805513

Accuracy: 0.15500780041589732
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.04      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.06      0.50      0.08   2719684
weighted avg       0.04      0.09      0.01   2719684

Accuracy: 0.08672331050224953
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05888713774262801
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.12      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.09      0.50      0.05    253829
weighted avg       0.12      0.05      0.01    253829

Accuracy: 0.05363453348514157

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.82      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6672436784464223
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968670947529643
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.82      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.6520494248525864
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.64      0.57      0.56   8856813

Accuracy: 0.5747507596694206
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.662631065626445
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.7309125126555893
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7595617294000977
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.77    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.77      0.78    666440

Accuracy: 0.7651371466298541

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167014292512113

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167014292512113
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%
              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781145312360307

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632523064742397
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950834216195631

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613873410221035
20-40%
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466028196347007

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159584082320013
40-80%


              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965481507950687
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877663642239359
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5866274533341336

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6772306819369699
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.39   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9062348755142718
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6536064383430021
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.49   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5220212866278819
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.44347376570781966
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.4100220541436628
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.404223936138287

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.25      0.38  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.55  49785283
   macro avg       0.66      0.59      0.51  49785283
weighted avg       0.68      0.55      0.50  49785283

Accuracy: 0.5474596579073377
0-1%
              precision    recall  f1-score   support

           0       0.86      0.25      0.39  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.51  44863141
   macro avg       0.65      0.59      0.49  44863141
weighted avg       0.70      0.51      0.46  44863141

Accuracy: 0.5101256730998839
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.08    287564
           1       0.94      0.94      0.94   4164787

    accuracy                           0.88   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.88      0.88   4452351

Accuracy: 0.8830903044256844
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.96    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.93      0.95    260071

Accuracy: 0.9295000211480711
20-40%
              precision    recall  f1-score   support

           0       0.01      0.07      0.01       659
           1       1.00      0.94      0.97    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9348457253461558
40-80%
              precision    recall  f1-score   support

           0       0.00      0.08      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.93     65403
   macro avg       0.50      0.51      0.49     65403
weighted avg       0.99      0.93      0.96     65403

Accuracy: 0.9344066785927251
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.00        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.93      7386
   macro avg       0.50      0.50      0.49      7386
weighted avg       1.00      0.93      0.96      7386

Accuracy: 0.934470620092066
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.01        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.50      0.50      0.49      5704
weighted avg       0.99      0.94      0.96      5704

Accuracy: 0.9358345021037868

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284319203327617

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6284318801602473
0-1%
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.6153508288686251

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615350784288599
1-10%
              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7450122418470602

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6270570513622779
10-20%


              precision    recall  f1-score   support

           0       0.01      0.23      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7707356837171387
20-40%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6282000708555109

              precision    recall  f1-score   support

           0       0.01      0.25      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.51      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7752672849337408
40-80%
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6283927855057542

              precision    recall  f1-score   support

           0       0.00      0.23      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.50      0.44     65403
weighted avg       0.99      0.77      0.87     65403

Accuracy: 0.7748574224423956
80-90%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.52      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7695640400758191
90-100%
              precision    recall  f1-score   support

           0       0.00      0.22      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.51      0.44      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7871669004207573

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.76      0.71  28055468
           1       0.61      0.49      0.55  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.63      0.63  49785283
weighted avg       0.64      0.64      0.64  49785283

Accuracy: 0.6430582306823485
0-1%
              precision    recall  f1-score   support

           0       0.71      0.76      0.73  27764588
           1       0.56      0.49      0.52  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.63  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6566422756712464
1-10%
              precision    recall  f1-score   support

           0       0.07      0.49      0.12    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.52   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.52      0.63   4452351

Accuracy: 0.5189997374420839
10-20%
              precision    recall  f1-score   support

           0       0.01      0.48      0.02      2455
           1       0.99      0.52      0.68    257616

    accuracy                           0.52    260071
   macro avg       0.50      0.50      0.35    260071
weighted avg       0.98      0.52      0.68    260071

Accuracy: 0.5207539479603647
20-40%
              precision    recall  f1-score   support

           0       0.01      0.51      0.01       659
           1       1.00      0.52      0.68    130568

    accuracy                           0.52    131227
   macro avg       0.50      0.52      0.35    131227
weighted avg       0.99      0.52      0.68    131227

Accuracy: 0.5218819297857911
40-80%
              precision    recall  f1-score   support

           0       0.00      0.46      0.00       169
           1       1.00      0.52      0.69     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.49      0.35     65403
weighted avg       0.99      0.52      0.69     65403

Accuracy: 0.5238750516031375
80-90%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.52      0.68      7371

    accuracy                           0.52      7386
   macro avg       0.50      0.39      0.34      7386
weighted avg       1.00      0.52      0.68      7386

Accuracy: 0.5199025182778229
90-100%
              precision    recall  f1-score   support

           0       0.00      0.44      0.01        18
           1       1.00      0.53      0.69      5686

    accuracy                           0.53      5704
   macro avg       0.50      0.49      0.35      5704
weighted avg       0.99      0.53      0.69      5704

Accuracy: 0.527875175315568

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.16      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.36      0.50      0.36  49785283
weighted avg       0.39      0.56      0.41  49785283

Accuracy: 0.5634782270897205
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188176837640503
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.38      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.22      0.50      0.06   4452351
weighted avg       0.36      0.06      0.01   4452351

Accuracy: 0.06457532211633808
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.44      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.22      0.50      0.01    260071
weighted avg       0.43      0.01      0.00    260071

Accuracy: 0.009432039712232429
20-40%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       659
           1       0.22      0.00      0.00    130568

    accuracy                           0.00    131227
   macro avg       0.11      0.49      0.00    131227
weighted avg       0.22      0.00      0.00    131227

Accuracy: 0.00498373048229404
40-80%
              precision    recall  f1-score   support

           0       0.00      0.98      0.01       169
           1       0.20      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.10      0.49      0.00     65403
weighted avg       0.20      0.00      0.00     65403

Accuracy: 0.002538109872635812
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635278200587913
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.43      0.62      0.47  44863141

Accuracy: 0.6188712243754846
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.80      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.43      0.50      0.06   4452351
weighted avg       0.75      0.06      0.01   4452351

Accuracy: 0.06458767514061672
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009447420127580545
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005029452780296738
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.0025686895096555203
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.58  47734596
   macro avg       0.67      0.61      0.54  47734596
weighted avg       0.69      0.58      0.53  47734596

Accuracy: 0.5754493449572716
0-1%
              precision    recall  f1-score   support

           0       0.99      0.45      0.62  12053010
           1       0.07      0.90      0.12    508421

    accuracy                           0.47  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.47      0.60  12561431

Accuracy: 0.46967403634187854
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.54      0.46  27835287
weighted avg       0.59      0.55      0.47  27835287

Accuracy: 0.5508712735744381
10-20%
              precision    recall  f1-score   support

           0       0.18      0.11      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8223826471692697
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.870333200655551
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.94   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8953264098309514
80-90%
              precision    recall  f1-score   support

           0       0.04      0.13      0.06      3093
           1       0.98      0.92      0.95    120943

    accuracy                           0.90    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.90      0.93    124036

Accuracy: 0.9049227643587345
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.50     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9068866643191308

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6593091936925579
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7790837684018644
1-10%
              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.75      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6488780846008332

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5901192252840791
10-20%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.66  44287357

Accuracy: 0.6537253058474454

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.70      0.74   3890639

Accuracy: 0.7040542697484912
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.66  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6570462578926919

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7264901816080264
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6589230131485936

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.75      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7376749148879415
80-90%
              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7408494308104099
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7421500075456512

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.75      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6659124966722249
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.19      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8967799926616641
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.56      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.589570138076895
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5598941459230733
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.57      0.71   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.67   2117913

Accuracy: 0.5607761036454283
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5608769367797124
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5600954561578897
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5594446400724382

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.94      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.60  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.60      0.52  47734596

Accuracy: 0.5954824463162943
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.15      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.60  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9565823352450847
1-10%
              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.17      0.27  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.46  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5243259033039609
10-20%
              precision    recall  f1-score   support

           0       0.13      0.84      0.23    503365
           1       0.88      0.18      0.31   3387274

    accuracy                           0.27   3890639
   macro avg       0.51      0.51      0.27   3890639
weighted avg       0.79      0.27      0.30   3890639

Accuracy: 0.2688671449599924
20-40%
              precision    recall  f1-score   support

           0       0.07      0.83      0.13    147488
           1       0.94      0.19      0.31   1970425

    accuracy                           0.23   2117913
   macro avg       0.50      0.51      0.22   2117913
weighted avg       0.88      0.23      0.30   2117913

Accuracy: 0.23132819903367136
40-80%
              precision    recall  f1-score   support

           0       0.04      0.84      0.07     41616
           1       0.97      0.19      0.31   1064279

    accuracy                           0.21   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.21      0.30   1105895

Accuracy: 0.21072163270473238
80-90%
              precision    recall  f1-score   support

           0       0.03      0.84      0.05      3093
           1       0.98      0.19      0.32    120943

    accuracy                           0.20    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.20      0.31    124036

Accuracy: 0.204295527105034
90-100%
              precision    recall  f1-score   support

           0       0.02      0.83      0.05      2328
           1       0.98      0.19      0.31     97067

    accuracy                           0.20     99395
   macro avg       0.50      0.51      0.18     99395
weighted avg       0.96      0.20      0.31     99395

Accuracy: 0.2005634086221641

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789056306248
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.48027042077920734
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.5884104537096579
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.83   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7162039839990519
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.45034692355064665
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7092624340805863
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8019239569219769
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8548073967416803
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8753159198221653
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8795212524967596

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755462013336263
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479210597480944
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124068553575631

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672417922714806
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666354673972631

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642288176733855
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712092410318193

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067694957853615
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7296358694613051

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747492708553352
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371737344973347
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.739911515232696

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853694909717916
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888593676095001
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.59      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6865130503136782
10-20%
              precision    recall  f1-score   support

           0       0.34      0.54      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5877176088792536
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5898589807165229
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.5896339427668803
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.69    315349

Accuracy: 0.5880690917047462
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5885773493178479

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6240705453742766
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988602676679527
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7087652245314855
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.26      0.40   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.41   7518650

Accuracy: 0.4141135709203115
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3480512902576686
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.27      0.41   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.3115865666746578
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.26      0.41    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.29552337251743305
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.26      0.41    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.2930319230663163

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.601860858556032
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9667625592016511
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.26   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4739205090071918
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5138872187998098
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609046030027698
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643621781509936
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8079636674018048
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164515935418042

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961267219716306
0-1%


              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993290318251818
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609563728093933

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7318892445514089
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7035804326916338

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611194116890579
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925511505088479

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628296945043562
40-80%


              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.706921723939412
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7251175480923412
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7289253346137686

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204605311528344
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8359139233065453
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6561279999927739
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6399417961435924
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6384820439521172
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.636448296107715
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6364804033371346

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6939022560539874
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9025836004473543
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646752054040206
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5521397890360823
40-80%
              precision    recall  f1-score   support

           0       0.25      0.77      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4870548905167451
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4594588594011338
90-100%
              precision    recall  f1-score   support

           0       0.17      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.53    666440

Accuracy: 0.4545510473561011

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_vtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.72      0.58      0.64  28055468
           1       0.57      0.71      0.63  21729815

    accuracy                           0.64  49785283
   macro avg       0.65      0.65      0.64  49785283
weighted avg       0.66      0.64      0.64  49785283

Accuracy: 0.6383161264745648
0-1%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  27764588
           1       0.51      0.71      0.60  17098553

    accuracy                           0.63  44863141
   macro avg       0.64      0.65      0.63  44863141
weighted avg       0.67      0.63      0.64  44863141

Accuracy: 0.63147480021517
1-10%
              precision    recall  f1-score   support

           0       0.07      0.29      0.11    287564
           1       0.94      0.73      0.82   4164787

    accuracy                           0.70   4452351
   macro avg       0.50      0.51      0.46   4452351
weighted avg       0.88      0.70      0.77   4452351

Accuracy: 0.6984876080075447
10-20%
              precision    recall  f1-score   support

           0       0.01      0.28      0.02      2455
           1       0.99      0.72      0.84    257616

    accuracy                           0.72    260071
   macro avg       0.50      0.50      0.43    260071
weighted avg       0.98      0.72      0.83    260071

Accuracy: 0.7192766590661781
20-40%
              precision    recall  f1-score   support

           0       0.01      0.30      0.01       659
           1       1.00      0.73      0.84    130568

    accuracy                           0.72    131227
   macro avg       0.50      0.51      0.43    131227
weighted avg       0.99      0.72      0.84    131227

Accuracy: 0.7240354500217181
40-80%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00       169
           1       1.00      0.73      0.84     65234

    accuracy                           0.72     65403
   macro avg       0.50      0.50      0.42     65403
weighted avg       0.99      0.72      0.84     65403

Accuracy: 0.7238811675305414
80-90%
              precision    recall  f1-score   support

           0       0.00      0.27      0.00        15
           1       1.00      0.72      0.83      7371

    accuracy                           0.72      7386
   macro avg       0.50      0.49      0.42      7386
weighted avg       1.00      0.72      0.83      7386

Accuracy: 0.7158137015976171
90-100%
              precision    recall  f1-score   support

           0       0.00      0.28      0.01        18
           1       1.00      0.74      0.85      5686

    accuracy                           0.73      5704
   macro avg       0.50      0.51      0.43      5704
weighted avg       0.99      0.73      0.84      5704

Accuracy: 0.7340462833099579

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635253293628962

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635253293628962
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188683935438225

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.14      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188683935438225
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.69      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.38      0.50      0.06   4452351
weighted avg       0.65      0.06      0.01   4452351

Accuracy: 0.06458834894194102

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.17      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.37      0.50      0.36  49315492
weighted avg       0.40      0.57      0.41  49315492

Accuracy: 0.568826323379274
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.18      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.37      0.50      0.36  49575563
weighted avg       0.40      0.57      0.41  49575563

Accuracy: 0.5658918689435761

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009451265231417575
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.18      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.37      0.50      0.36  49706790
weighted avg       0.40      0.56      0.41  49706790

Accuracy: 0.5644111800420023

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005029452780296738
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.18      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.37      0.50      0.36  49772193
weighted avg       0.40      0.56      0.41  49772193

Accuracy: 0.5636728725214097

              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.49      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002553399691145666
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.19      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.38      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635285632503083
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.15      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.39      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.618872115976008
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       1.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.53      0.50      0.06   4452351
weighted avg       0.94      0.06      0.01   4452351

Accuracy: 0.0645874505401753
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009443575023743517
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.0025686895096555203
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.74      0.59      0.66  26119367
           1       0.60      0.74      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6614790874107325
0-1%
              precision    recall  f1-score   support

           0       0.98      0.80      0.88  12053010
           1       0.12      0.68      0.21    508421

    accuracy                           0.79  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.79      0.85  12561431

Accuracy: 0.7906283129684827
1-10%
              precision    recall  f1-score   support

           0       0.61      0.43      0.50  13368467
           1       0.58      0.74      0.65  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5911734626626987
10-20%
              precision    recall  f1-score   support

           0       0.16      0.32      0.21    503365
           1       0.88      0.75      0.81   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.51   3890639
weighted avg       0.79      0.70      0.73   3890639

Accuracy: 0.6952585423628355
20-40%
              precision    recall  f1-score   support

           0       0.09      0.32      0.14    147488
           1       0.94      0.75      0.83   1970425

    accuracy                           0.72   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.72      0.78   2117913

Accuracy: 0.7162140276772464
40-80%
              precision    recall  f1-score   support

           0       0.05      0.33      0.08     41616
           1       0.97      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7265644568426478
80-90%
              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7295946338159889
90-100%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.730942200311887

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.59      0.52  47734596

Accuracy: 0.5945489933548406

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.17      0.28  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.50  47734596
weighted avg       0.64      0.59      0.52  47734596

Accuracy: 0.5945489933548406
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9567321589395348

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.40      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.57      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9567321589395348
1-10%
              precision    recall  f1-score   support

           0       0.66      0.95      0.78  25421477
           1       0.65      0.17      0.26  14975241

    accuracy                           0.66  40396718
   macro avg       0.66      0.56      0.52  40396718
weighted avg       0.66      0.66      0.59  40396718

Accuracy: 0.6581969604560449

              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.17      0.27  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.46  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5234748253179499
10-20%
              precision    recall  f1-score   support

           0       0.62      0.95      0.75  25924842
           1       0.69      0.17      0.27  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.56      0.51  44287357
weighted avg       0.65      0.62      0.55  44287357

Accuracy: 0.6237390278223196

              precision    recall  f1-score   support

           0       0.13      0.84      0.23    503365
           1       0.88      0.18      0.30   3387274

    accuracy                           0.27   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.27      0.29   3890639

Accuracy: 0.2659604244958219
20-40%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.17      0.27  20332940

    accuracy                           0.61  46405270
   macro avg       0.65      0.56      0.50  46405270
weighted avg       0.64      0.61      0.53  46405270

Accuracy: 0.6056843543847499

              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.18      0.31   1970425

    accuracy                           0.23   2117913
   macro avg       0.50      0.51      0.22   2117913
weighted avg       0.88      0.23      0.29   2117913

Accuracy: 0.22814582090954633
40-80%
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.17      0.28  21397219

    accuracy                           0.60  47511165
   macro avg       0.65      0.56      0.50  47511165
weighted avg       0.64      0.60      0.52  47511165

Accuracy: 0.596408991444432

              precision    recall  f1-score   support

           0       0.04      0.84      0.07     41616
           1       0.97      0.18      0.31   1064279

    accuracy                           0.21   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.21      0.30   1105895

Accuracy: 0.2071986942702517
80-90%
              precision    recall  f1-score   support

           0       0.03      0.84      0.05      3093
           1       0.98      0.18      0.31    120943

    accuracy                           0.20    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.20      0.30    124036

Accuracy: 0.20071592118417234
90-100%
              precision    recall  f1-score   support

           0       0.02      0.84      0.05      2328
           1       0.98      0.18      0.31     97067

    accuracy                           0.20     99395
   macro avg       0.50      0.51      0.18     99395
weighted avg       0.96      0.20      0.30     99395

Accuracy: 0.19693143518285627

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789056306248
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595251528269351
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.48027042077920734
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.75      0.61      0.68  24893266
           1       0.62      0.76      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.69      0.68      0.68  45456361

Accuracy: 0.6774643707181047
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.01      0.70      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.98   4877461

Accuracy: 0.9533855831958472
1-10%
              precision    recall  f1-score   support

           0       0.82      0.56      0.67  16949103
           1       0.44      0.75      0.56   8016772

    accuracy                           0.62  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.62      0.63  24965875

Accuracy: 0.6193480500883706
10-20%
              precision    recall  f1-score   support

           0       0.38      0.38      0.38   2057494
           1       0.77      0.76      0.76   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6588577736694753
20-40%
              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.76      0.81   4060539

    accuracy                           0.70   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.70      0.73   4805513

Accuracy: 0.69850731857348
40-80%
              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.7198354661791591
80-90%
              precision    recall  f1-score   support

           0       0.08      0.37      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.7266235187046732
90-100%
              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7293335276899015

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6251611518132743

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6251611518132743
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.998844070716301
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.36   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7090933924807362

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.36   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.7564489439116324
10-20%
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6879937003348805

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.41627832124118025
20-40%


              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3509681484578233
40-80%
              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.40   2719684

Accuracy: 0.3149531342611862

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6293102866357196
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.2990432822047953
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.2965854965350689

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7087849543095344
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678318670121475
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299411537761946
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.662391521997274
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6927951084906597
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7045262799544115
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.70716643658844

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836938219177728

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836938219177728
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159621840416375

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9057146246735943
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.35      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174771091671127

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6588971676380657
20-40%
              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405621469497821

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332934754493425
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937903151982135

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45834395410239614
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.42651949102786124
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42095312406218116

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5743142528522117
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.9005191179793278
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5725381127500377
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.3545426389408418
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.09   6296625

Accuracy: 0.21292073134417247
80-90%
              precision    recall  f1-score   support

           0       0.15      0.99      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15357602758988173
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.82      0.14      0.05    666440

Accuracy: 0.14144108997059

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_decay_vtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.39      0.53  28055468
           1       0.52      0.86      0.65  21729815

    accuracy                           0.60  49785283
   macro avg       0.65      0.63      0.59  49785283
weighted avg       0.67      0.60      0.58  49785283

Accuracy: 0.5978425592157426
0-1%
              precision    recall  f1-score   support

           0       0.82      0.40      0.54  27764588
           1       0.47      0.86      0.61  17098553

    accuracy                           0.57  44863141
   macro avg       0.64      0.63      0.57  44863141
weighted avg       0.69      0.57      0.56  44863141

Accuracy: 0.5731476313707059
1-10%
              precision    recall  f1-score   support

           0       0.07      0.15      0.10    287564
           1       0.94      0.87      0.90   4164787

    accuracy                           0.82   4452351
   macro avg       0.50      0.51      0.50   4452351
weighted avg       0.88      0.82      0.85   4452351

Accuracy: 0.8193314049139432
10-20%
              precision    recall  f1-score   support

           0       0.01      0.15      0.02      2455
           1       0.99      0.86      0.92    257616

    accuracy                           0.85    260071
   macro avg       0.50      0.50      0.47    260071
weighted avg       0.98      0.85      0.91    260071

Accuracy: 0.8547627378677362
20-40%
              precision    recall  f1-score   support

           0       0.01      0.16      0.01       659
           1       1.00      0.86      0.92    130568

    accuracy                           0.86    131227
   macro avg       0.50      0.51      0.47    131227
weighted avg       0.99      0.86      0.92    131227

Accuracy: 0.8597468508767251
40-80%
              precision    recall  f1-score   support

           0       0.00      0.14      0.00       169
           1       1.00      0.86      0.92     65234

    accuracy                           0.86     65403
   macro avg       0.50      0.50      0.46     65403
weighted avg       0.99      0.86      0.92     65403

Accuracy: 0.8592113511612617
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.00        15
           1       1.00      0.86      0.92      7371

    accuracy                           0.86      7386
   macro avg       0.50      0.46      0.46      7386
weighted avg       1.00      0.86      0.92      7386

Accuracy: 0.8601408069320335
90-100%
              precision    recall  f1-score   support

           0       0.00      0.06      0.00        18
           1       1.00      0.87      0.93      5686

    accuracy                           0.87      5704
   macro avg       0.50      0.46      0.47      5704
weighted avg       0.99      0.87      0.93      5704

Accuracy: 0.8657082748948106

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.63      0.37      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.61  49785283

Accuracy: 0.6311348877940495

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.63      0.37      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.61  49785283

Accuracy: 0.6311348877940495
0-1%
              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.36      0.44  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.60  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6555909672040128

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.36      0.44  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.60  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6555909672040128
1-10%
              precision    recall  f1-score   support

           0       0.07      0.62      0.12    287564
           1       0.94      0.39      0.56   4164787

    accuracy                           0.41   4452351
   macro avg       0.50      0.51      0.34   4452351
weighted avg       0.88      0.41      0.53   4452351

Accuracy: 0.4092141432694772
10-20%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28054607
           1       0.63      0.37      0.46  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.60      0.59  49575563
weighted avg       0.63      0.63      0.61  49575563

Accuracy: 0.6321194173831167

              precision    recall  f1-score   support

           0       0.01      0.60      0.02      2455
           1       0.99      0.40      0.57    257616

    accuracy                           0.40    260071
   macro avg       0.50      0.50      0.29    260071
weighted avg       0.98      0.40      0.56    260071

Accuracy: 0.39927942754094076
20-40%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055266
           1       0.63      0.37      0.46  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.60      0.59  49706790
weighted avg       0.63      0.63      0.61  49706790

Accuracy: 0.6314995396001231

              precision    recall  f1-score   support

           0       0.01      0.64      0.01       659
           1       1.00      0.40      0.57    130568

    accuracy                           0.40    131227
   macro avg       0.50      0.52      0.29    131227
weighted avg       0.99      0.40      0.56    131227

Accuracy: 0.3973191492604418
40-80%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055435
           1       0.63      0.37      0.46  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.60      0.59  49772193
weighted avg       0.63      0.63      0.61  49772193

Accuracy: 0.6311969617251947

              precision    recall  f1-score   support

           0       0.00      0.60      0.01       169
           1       1.00      0.40      0.57     65234

    accuracy                           0.40     65403
   macro avg       0.50      0.50      0.29     65403
weighted avg       0.99      0.40      0.57     65403

Accuracy: 0.4012354173355962
80-90%
              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.38      0.56      7371

    accuracy                           0.38      7386
   macro avg       0.50      0.39      0.28      7386
weighted avg       0.99      0.38      0.55      7386

Accuracy: 0.38478202003790957
90-100%
              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.41      0.58      5686

    accuracy                           0.41      5704
   macro avg       0.50      0.54      0.29      5704
weighted avg       0.99      0.41      0.58      5704

Accuracy: 0.40848527349228614

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.17      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.39      0.56      0.41  49785283

Accuracy: 0.5635248272064658
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.13      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.43      0.62      0.47  44863141

Accuracy: 0.6188678362934954
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.69      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.38      0.50      0.06   4452351
weighted avg       0.65      0.06      0.01   4452351

Accuracy: 0.06458834894194102
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009451265231417575
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005029452780296738
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.49      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002553399691145666
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.18      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.37      0.50      0.36  49785283
weighted avg       0.40      0.56      0.41  49785283

Accuracy: 0.5635285230777939
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.15      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.38      0.50      0.38  44863141
weighted avg       0.44      0.62      0.47  44863141

Accuracy: 0.6188720713959819
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       1.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.53      0.50      0.06   4452351
weighted avg       0.94      0.06      0.01   4452351

Accuracy: 0.0645874505401753
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       1.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.99      0.01      0.00    260071

Accuracy: 0.009443575023743517
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.0025686895096555203
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.44      0.56  26119367
           1       0.56      0.86      0.68  21615229

    accuracy                           0.63  47734596
   macro avg       0.67      0.65      0.62  47734596
weighted avg       0.68      0.63      0.61  47734596

Accuracy: 0.6264125080266731
0-1%
              precision    recall  f1-score   support

           0       0.99      0.64      0.77  12053010
           1       0.09      0.82      0.16    508421

    accuracy                           0.64  12561431
   macro avg       0.54      0.73      0.46  12561431
weighted avg       0.95      0.64      0.75  12561431

Accuracy: 0.642621927390279
1-10%
              precision    recall  f1-score   support

           0       0.64      0.27      0.38  13368467
           1       0.56      0.86      0.68  14466820

    accuracy                           0.57  27835287
   macro avg       0.60      0.56      0.53  27835287
weighted avg       0.60      0.57      0.53  27835287

Accuracy: 0.5743047305386145
10-20%
              precision    recall  f1-score   support

           0       0.18      0.20      0.19    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.78   3890639

Accuracy: 0.7756993131462466
20-40%
              precision    recall  f1-score   support

           0       0.10      0.21      0.13    147488
           1       0.94      0.86      0.89   1970425

    accuracy                           0.81   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.81      0.84   2117913

Accuracy: 0.8120234400563195
40-80%
              precision    recall  f1-score   support

           0       0.05      0.21      0.09     41616
           1       0.97      0.85      0.91   1064279

    accuracy                           0.83   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.83      0.88   1105895

Accuracy: 0.8305309274388617
80-90%
              precision    recall  f1-score   support

           0       0.04      0.22      0.06      3093
           1       0.98      0.85      0.91    120943

    accuracy                           0.84    124036
   macro avg       0.51      0.54      0.49    124036
weighted avg       0.95      0.84      0.89    124036

Accuracy: 0.8363862104550291
90-100%
              precision    recall  f1-score   support

           0       0.03      0.21      0.06      2328
           1       0.98      0.85      0.91     97067

    accuracy                           0.84     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.84      0.89     99395

Accuracy: 0.8388450123245637

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618987620634728

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618987620634728
0-1%
              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9103169057729171

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9103169057729171
1-10%
              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866531583085537

              precision    recall  f1-score   support

           0       0.56      0.66      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5857188036178682
10-20%
              precision    recall  f1-score   support

           0       0.70      0.79      0.74  25924842
           1       0.63      0.51      0.57  18362515

    accuracy                           0.67  44287357
   macro avg       0.66      0.65      0.65  44287357
weighted avg       0.67      0.67      0.67  44287357

Accuracy: 0.6726740997436357

              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5275287684105362
20-40%
              precision    recall  f1-score   support

           0       0.67      0.78      0.73  26072330
           1       0.65      0.51      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6659040880486203

              precision    recall  f1-score   support

           0       0.08      0.52      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.63   2117913

Accuracy: 0.5243374019612703
40-80%
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.52      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.662564746623241

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.66   1105895

Accuracy: 0.5224401954977642
80-90%
              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5207762262568931
90-100%
              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5196639670003521

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      0.95      0.72  26119367
           1       0.73      0.14      0.24  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.48  47734596
weighted avg       0.64      0.59      0.50  47734596

Accuracy: 0.5880570561443528
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.42      0.12      0.19    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.58  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9576468636415708
1-10%
              precision    recall  f1-score   support

           0       0.50      0.93      0.65  13368467
           1       0.67      0.14      0.23  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.53      0.44  27835287
weighted avg       0.59      0.52      0.43  27835287

Accuracy: 0.517617260421996
10-20%
              precision    recall  f1-score   support

           0       0.13      0.86      0.23    503365
           1       0.88      0.15      0.26   3387274

    accuracy                           0.25   3890639
   macro avg       0.51      0.51      0.25   3890639
weighted avg       0.79      0.25      0.26   3890639

Accuracy: 0.24608939559799817
20-40%
              precision    recall  f1-score   support

           0       0.07      0.86      0.13    147488
           1       0.94      0.16      0.27   1970425

    accuracy                           0.21   2117913
   macro avg       0.50      0.51      0.20   2117913
weighted avg       0.88      0.21      0.26   2117913

Accuracy: 0.20524639114071258
40-80%
              precision    recall  f1-score   support

           0       0.04      0.86      0.07     41616
           1       0.97      0.16      0.27   1064279

    accuracy                           0.18   1105895
   macro avg       0.50      0.51      0.17   1105895
weighted avg       0.93      0.18      0.26   1105895

Accuracy: 0.1828907807703263
80-90%
              precision    recall  f1-score   support

           0       0.03      0.87      0.05      3093
           1       0.98      0.16      0.27    120943

    accuracy                           0.18    124036
   macro avg       0.50      0.51      0.16    124036
weighted avg       0.95      0.18      0.27    124036

Accuracy: 0.1754490631752072
90-100%
              precision    recall  f1-score   support

           0       0.02      0.86      0.05      2328
           1       0.98      0.16      0.27     97067

    accuracy                           0.17     99395
   macro avg       0.50      0.51      0.16     99395
weighted avg       0.96      0.17      0.26     99395

Accuracy: 0.1717088384727602

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.46      0.59  24893266
           1       0.57      0.85      0.68  20563095

    accuracy                           0.64  45456361
   macro avg       0.68      0.66      0.63  45456361
weighted avg       0.69      0.64      0.63  45456361

Accuracy: 0.6407366176980159
0-1%
              precision    recall  f1-score   support

           0       1.00      0.87      0.93   4873589
           1       0.01      0.82      0.01      3872

    accuracy                           0.87   4877461
   macro avg       0.50      0.84      0.47   4877461
weighted avg       1.00      0.87      0.93   4877461

Accuracy: 0.873001752346149
1-10%
              precision    recall  f1-score   support

           0       0.85      0.39      0.53  16949103
           1       0.40      0.85      0.54   8016772

    accuracy                           0.54  24965875
   macro avg       0.62      0.62      0.54  24965875
weighted avg       0.70      0.54      0.53  24965875

Accuracy: 0.5362511428099356
10-20%
              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6905540223311366
20-40%
              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7597257566465848
40-80%
              precision    recall  f1-score   support

           0       0.13      0.24      0.17    235909
           1       0.92      0.85      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.7988950186859944
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.90    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.8133877069532486
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8170658199023753

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839020175856136

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839020175856136
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9915525721271785

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9915525721271785
1-10%
              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.52      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.6957728098854937

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7441137277682361
10-20%
              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097037614649285

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5731223025410147
20-40%
              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.61  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.6934430946450013

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.5670193796167027
40-80%
              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5621708257282831

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.6854893968284889
80-90%
              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.71    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.558945802904084
90-100%
              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5584310697359246

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.25      0.37  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.55  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6216106256283912
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.20      0.22      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.60      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988446857904143
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.24      0.34   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.58      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7080150805849985
10-20%
              precision    recall  f1-score   support

           0       0.29      0.82      0.43   2057494
           1       0.79      0.25      0.38   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.40   7518650

Accuracy: 0.4092493998257666
20-40%
              precision    recall  f1-score   support

           0       0.16      0.80      0.27    744974
           1       0.87      0.26      0.40   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.34      0.38   4805513

Accuracy: 0.34143389061688106
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.26      0.40   2483775

    accuracy                           0.30   2719684
   macro avg       0.51      0.53      0.28   2719684
weighted avg       0.86      0.30      0.38   2719684

Accuracy: 0.3041665870005486
80-90%
              precision    recall  f1-score   support

           0       0.06      0.80      0.12     18577
           1       0.95      0.26      0.40    296772

    accuracy                           0.29    315349
   macro avg       0.51      0.53      0.26    315349
weighted avg       0.90      0.29      0.39    315349

Accuracy: 0.28787470389948916
90-100%
              precision    recall  f1-score   support

           0       0.06      0.80      0.11     13620
           1       0.96      0.26      0.40    240209

    accuracy                           0.28    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.28      0.39    253829

Accuracy: 0.2849516800680773

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.06      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.30      0.50      0.35  45456361
weighted avg       0.33      0.55      0.39  45456361

Accuracy: 0.5476293185897569
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992010187267515
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.14      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.41      0.50      0.40  24965875
weighted avg       0.51      0.68      0.55  24965875

Accuracy: 0.6788906056767487
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.50      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.39      0.50      0.21   7518650
weighted avg       0.44      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476298685677896
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992051192208405
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299565642749
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6673967290791997
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968819334722151
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.81      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.6524680328554966
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.65      0.57      0.56   8856813

Accuracy: 0.5749337826145816
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.6626321147226312
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.7307995950211422
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7594124815598743
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.76    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.76      0.78    666440

Accuracy: 0.7649855951023348

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166955514583285

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166955514583285
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%
              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781296772531015

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632692993944856
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950931543004521

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613883571889798
20-40%
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466045232766549

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159384754044644
40-80%
              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217297276639385

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965116232902546
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877367613465362
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586579437008583

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6773988324169804
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.39   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9062214227857438
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6537480242610971
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.49   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5223078064529441
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.4438660393464753
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.4104500624127332
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.40464257847668206

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_id

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.51      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6987455107968353
0-1%
              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.672187397667943
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9353103562589742
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691047573235649

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691047573235649
0-1%
              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7503009207491735
1-10%


              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349593057690195
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  28055468
           1       0.79      0.65      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7683008651371932
0-1%
              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7494543906321672
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9345002224667373
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7378961569827774
0-1%
              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.79      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.7158359019044164
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9332703104494682
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.6985757618370875
0-1%
              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6725988490195103
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9292663583801007
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.660436498874577
0-1%
              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329220238948494
1-10%
              precision    recall  f1-score   support

           0       0.10      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9025957297616473
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7150650861274703
0-1%
              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8705117275253114
1-10%
              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.59      0.53  27835287

Accuracy: 0.5948823161047343
10-20%
              precision    recall  f1-score   support

           0       0.41      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.64      0.50      0.47   3890639
weighted avg       0.81      0.87      0.81   3890639

Accuracy: 0.8705598232064193
20-40%
              precision    recall  f1-score   support

           0       1.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.97      0.50      0.48   2117913
weighted avg       0.94      0.93      0.90   2117913

Accuracy: 0.9303625786328333
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.774405653291797
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506570549167527
1-10%
              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607267243193864
10-20%
              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.868776311551907
20-40%
              precision    recall  f1-score   support

           0       0.51      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.72      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303621064699069
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.769907364461616
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.03    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590054668134547
1-10%
              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.71      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498689594973459
10-20%
              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8643158617389072
20-40%
              precision    recall  f1-score   support

           0       0.48      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.70      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303578570035691
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.7345229862215656
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5909023679188219
10-20%
              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8504294538763427
20-40%
              precision    recall  f1-score   support

           0       0.34      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.63      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302591749519457
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878355689864852
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.518283824413235
10-20%
              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

    accuracy                           0.80   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.80      0.79   3890639

Accuracy: 0.7975576762583215
20-40%
              precision    recall  f1-score   support

           0       0.22      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295310997193936
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6433975056581603
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.4803281532538177
10-20%
              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5282376493938399
20-40%
              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.921552018425686
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7215836965039942
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9942029264816264
1-10%
              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6173862121796252
10-20%
              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257109986500236
20-40%
              precision    recall  f1-score   support

           0       0.51      0.00      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.68      0.50      0.46   4805513
weighted avg       0.79      0.84      0.78   4805513

Accuracy: 0.8449982343196242
40-80%
              precision    recall  f1-score   support

           0       0.85      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.88      0.50      0.48   2719684
weighted avg       0.91      0.91      0.87   2719684

Accuracy: 0.9132671295635817
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766741160824554
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990601667547931
1-10%
              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.7211653907583851
10-20%
              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134634542105298
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411586858676691
40-80%
              precision    recall  f1-score   support

           0       0.69      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.80      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9133101492673413
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.771956426516412
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.27      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992014287761604
1-10%
              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.7228112773936424
10-20%
              precision    recall  f1-score   support

           0       0.39      0.28      0.33   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6844078391732559
20-40%
              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.49   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8332977145208014
40-80%
              precision    recall  f1-score   support

           0       0.57      0.00      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.74      0.50      0.48   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9133123554059956
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7374155401484954
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.692328187976588
10-20%
              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5909048831904664
20-40%
              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8113533352214425
40-80%
              precision    recall  f1-score   support

           0       0.43      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.67      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9130847554348226
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6874468239989558
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.31   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.3815806029007867
20-40%
              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7369554509580974
40-80%
              precision    recall  f1-score   support

           0       0.28      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9114066192984185
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6375316317115661
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.44214634316877305
40-80%
              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8964129656239475
80-90%
              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.48    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9410938357185213
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.72108565469416
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.95      0.82      0.88  11439888
           1       0.29      0.65      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.8066911354228751
10-20%
              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.534763351106092
20-40%
              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.6582242788133976
40-80%
              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.7947311456534254
80-90%
              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8547004435497797
90-100%
              precision    recall  f1-score   support

           0       0.80      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.50      0.47    666440
weighted avg       0.86      0.87      0.80    666440

Accuracy: 0.866621151191405

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763523876684107
0-1%


              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945495680336737
10-20%
              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6475557291319124
20-40%
              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6683956160368573
40-80%
              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912060826236277
80-90%
              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551629885091497
90-100%
              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.866934757817658

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.82      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772319030991119
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9017052395466792
10-20%
              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.50   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.62   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6522827116255023
20-40%
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.661567631792417
40-80%
              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849125523593988
80-90%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550273086544012
90-100%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.8672438629133905

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.751307314877773
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001895654658546
10-20%
              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.51   8856813

Accuracy: 0.604077561533703
20-40%
              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6068312714124903
40-80%
              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7681297520497091
80-90%
              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529218039993487
90-100%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671028149570854

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7009521365751793
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.88      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.73      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.5695592760059403
20-40%
              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45344979544372865
40-80%
              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.59      0.58   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7116874516109821
80-90%
              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8458010785314999
90-100%
              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637311685973231

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394420728056869
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.95      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.65      0.50      0.26   8578813
weighted avg       0.74      0.35      0.18   8578813

Accuracy: 0.3491939968851169
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.4756038353880055
80-90%
              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8045198659976417
90-100%
              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8436078266610647

LR_7_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.82      0.67      0.74  28055468
           1       0.65      0.81      0.72  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.730444898746483
0-1%
              precision    recall  f1-score   support

           0       0.82      0.67      0.74  27764588
           1       0.59      0.77      0.67  17098553

    accuracy                           0.71  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.73      0.71      0.71  44863141

Accuracy: 0.7080572222974758
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9287068786804994
10-20%
              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.987995585820795
20-40%
              precision    recall  f1-score   support

           0       0.01      0.00      0.01       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.991457550656496
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      0.99      1.00     65234

    accuracy                           0.99     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      0.99      0.99     65403

Accuracy: 0.9909025579866367
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.99      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9905226103438939
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.50      0.49      0.50      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9865007012622721

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055468
           1       0.77      0.45      0.57  21729815

    accuracy                           0.70  49785283
   macro avg       0.73      0.67      0.67  49785283
weighted avg       0.72      0.70      0.68  49785283

Accuracy: 0.7030010254235173

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055468
           1       0.77      0.45      0.57  21729815

    accuracy                           0.70  49785283
   macro avg       0.73      0.67      0.67  49785283
weighted avg       0.72      0.70      0.68  49785283

Accuracy: 0.7030010455097745
0-1%
              precision    recall  f1-score   support

           0       0.69      0.90      0.78  27764588
           1       0.69      0.34      0.45  17098553

    accuracy                           0.69  44863141
   macro avg       0.69      0.62      0.62  44863141
weighted avg       0.69      0.69      0.66  44863141

Accuracy: 0.689385680775227

              precision    recall  f1-score   support

           0       0.69      0.90      0.78  27764588
           1       0.69      0.34      0.45  17098553

    accuracy                           0.69  44863141
   macro avg       0.69      0.62      0.62  44863141
weighted avg       0.69      0.69      0.66  44863141

Accuracy: 0.689385680775227
1-10%
              precision    recall  f1-score   support

           0       0.08      0.18      0.11    287564
           1       0.94      0.86      0.90   4164787

    accuracy                           0.82   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.82      0.85   4452351

Accuracy: 0.8183328313513467

              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28052152
           1       0.77      0.44      0.56  21263340

    accuracy                           0.70  49315492
   macro avg       0.72      0.67      0.67  49315492
weighted avg       0.72      0.70      0.68  49315492

Accuracy: 0.7010273972324964
10-20%
              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28054607
           1       0.77      0.45      0.57  21520956

    accuracy                           0.70  49575563
   macro avg       0.72      0.67      0.67  49575563
weighted avg       0.72      0.70      0.68  49575563

Accuracy: 0.7022238153906593

              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.94      0.96    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.93      0.95    260071

Accuracy: 0.9290924401413461
20-40%
              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055266
           1       0.77      0.45      0.57  21651524

    accuracy                           0.70  49706790
   macro avg       0.73      0.67      0.67  49706790
weighted avg       0.72      0.70      0.68  49706790

Accuracy: 0.7027602868742882

              precision    recall  f1-score   support

           0       0.01      0.12      0.01       659
           1       1.00      0.91      0.95    130568

    accuracy                           0.91    131227
   macro avg       0.50      0.51      0.48    131227
weighted avg       0.99      0.91      0.95    131227

Accuracy: 0.9054386673474208
40-80%
              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055435
           1       0.77      0.45      0.57  21716758

    accuracy                           0.70  49772193
   macro avg       0.73      0.67      0.67  49772193
weighted avg       0.72      0.70      0.68  49772193

Accuracy: 0.702966754950902

              precision    recall  f1-score   support

           0       0.00      0.20      0.01       169
           1       1.00      0.86      0.92     65234

    accuracy                           0.86     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.86      0.92     65403

Accuracy: 0.8598841031756953
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.83      0.91      7371

    accuracy                           0.83      7386
   macro avg       0.50      0.48      0.46      7386
weighted avg       1.00      0.83      0.91      7386

Accuracy: 0.8323855943677227
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.84      0.91      5686

    accuracy                           0.83      5704
   macro avg       0.50      0.58      0.46      5704
weighted avg       0.99      0.83      0.91      5704

Accuracy: 0.8343267882187938

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.61      0.98      0.75  28055468
           1       0.88      0.19      0.32  21729815

    accuracy                           0.64  49785283
   macro avg       0.74      0.59      0.54  49785283
weighted avg       0.73      0.64      0.56  49785283

Accuracy: 0.6364741162564045
0-1%
              precision    recall  f1-score   support

           0       0.63      0.98      0.77  27764588
           1       0.76      0.08      0.14  17098553

    accuracy                           0.64  44863141
   macro avg       0.70      0.53      0.46  44863141
weighted avg       0.68      0.64      0.53  44863141

Accuracy: 0.6395564010999587
1-10%
              precision    recall  f1-score   support

           0       0.08      0.47      0.13    287564
           1       0.94      0.60      0.73   4164787

    accuracy                           0.59   4452351
   macro avg       0.51      0.54      0.43   4452351
weighted avg       0.89      0.59      0.70   4452351

Accuracy: 0.5933269861248586
10-20%
              precision    recall  f1-score   support

           0       0.01      0.19      0.02      2455
           1       0.99      0.81      0.89    257616

    accuracy                           0.81    260071
   macro avg       0.50      0.50      0.46    260071
weighted avg       0.98      0.81      0.88    260071

Accuracy: 0.8064028669094209
20-40%
              precision    recall  f1-score   support

           0       0.01      0.29      0.01       659
           1       1.00      0.73      0.85    130568

    accuracy                           0.73    131227
   macro avg       0.50      0.51      0.43    131227
weighted avg       0.99      0.73      0.84    131227

Accuracy: 0.732509315918218
40-80%
              precision    recall  f1-score   support

           0       0.00      0.41      0.01       169
           1       1.00      0.61      0.76     65234

    accuracy                           0.61     65403
   macro avg       0.50      0.51      0.38     65403
weighted avg       0.99      0.61      0.76     65403

Accuracy: 0.612907664786019
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.53      0.69      7371

    accuracy                           0.53      7386
   macro avg       0.50      0.43      0.35      7386
weighted avg       1.00      0.53      0.69      7386

Accuracy: 0.5258597346330897
90-100%
              precision    recall  f1-score   support

           0       0.00      0.50      0.01        18
           1       1.00      0.53      0.69      5686

    accuracy                           0.53      5704
   macro avg       0.50      0.51      0.35      5704
weighted avg       0.99      0.53      0.69      5704

Accuracy: 0.5291023842917251

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      1.00      0.73  28055468
           1       0.94      0.07      0.13  21729815

    accuracy                           0.59  49785283
   macro avg       0.76      0.53      0.43  49785283
weighted avg       0.74      0.59      0.47  49785283

Accuracy: 0.5915591762328638
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.77  27764588
           1       0.79      0.01      0.01  17098553

    accuracy                           0.62  44863141
   macro avg       0.70      0.50      0.39  44863141
weighted avg       0.68      0.62      0.48  44863141

Accuracy: 0.6205877559932774
1-10%
              precision    recall  f1-score   support

           0       0.07      0.80      0.13    287564
           1       0.95      0.28      0.44   4164787

    accuracy                           0.32   4452351
   macro avg       0.51      0.54      0.28   4452351
weighted avg       0.90      0.32      0.42   4452351

Accuracy: 0.3166715741863119
10-20%
              precision    recall  f1-score   support

           0       0.01      0.44      0.02      2455
           1       0.99      0.55      0.71    257616

    accuracy                           0.55    260071
   macro avg       0.50      0.50      0.36    260071
weighted avg       0.98      0.55      0.70    260071

Accuracy: 0.5490539122008989
20-40%
              precision    recall  f1-score   support

           0       0.00      0.61      0.01       659
           1       0.99      0.36      0.53    130568

    accuracy                           0.36    131227
   macro avg       0.50      0.49      0.27    131227
weighted avg       0.99      0.36      0.53    131227

Accuracy: 0.36371326022845907
40-80%
              precision    recall  f1-score   support

           0       0.00      0.82      0.00       169
           1       1.00      0.13      0.23     65234

    accuracy                           0.13     65403
   macro avg       0.50      0.48      0.12     65403
weighted avg       0.99      0.13      0.23     65403

Accuracy: 0.1306209195296852
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.03      0.06      7371

    accuracy                           0.03      7386
   macro avg       0.50      0.52      0.03      7386
weighted avg       1.00      0.03      0.06      7386

Accuracy: 0.034930950446791224
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.03      0.05      5686

    accuracy                           0.03      5704
   macro avg       0.50      0.51      0.03      5704
weighted avg       1.00      0.03      0.05      5704

Accuracy: 0.029628330995792426

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.43  49785283

Accuracy: 0.5754383077424708
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.50      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.56      0.50      0.38  44863141
weighted avg       0.57      0.62      0.47  44863141

Accuracy: 0.618872896126466
1-10%
              precision    recall  f1-score   support

           0       0.07      0.93      0.13    287564
           1       0.96      0.13      0.23   4164787

    accuracy                           0.18   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.18      0.22   4452351

Accuracy: 0.17925136630063532
10-20%
              precision    recall  f1-score   support

           0       0.01      0.70      0.02      2455
           1       0.99      0.29      0.45    257616

    accuracy                           0.29    260071
   macro avg       0.50      0.50      0.23    260071
weighted avg       0.98      0.29      0.44    260071

Accuracy: 0.29103975452857106
20-40%
              precision    recall  f1-score   support

           0       0.00      0.92      0.01       659
           1       0.99      0.07      0.13    130568

    accuracy                           0.07    131227
   macro avg       0.50      0.49      0.07    131227
weighted avg       0.99      0.07      0.13    131227

Accuracy: 0.07416156736037553
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.0035319480757763405
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28055468
           1       0.95      0.01      0.02  21729815

    accuracy                           0.57  49785283
   macro avg       0.76      0.50      0.37  49785283
weighted avg       0.73      0.57      0.42  49785283

Accuracy: 0.5673120910048859
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.05      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.33      0.50      0.38  44863141
weighted avg       0.40      0.62      0.47  44863141

Accuracy: 0.6187671300143697
1-10%
              precision    recall  f1-score   support

           0       0.07      0.98      0.12    287564
           1       0.97      0.04      0.08   4164787

    accuracy                           0.10   4452351
   macro avg       0.52      0.51      0.10   4452351
weighted avg       0.91      0.10      0.09   4452351

Accuracy: 0.10449378317208145
10-20%
              precision    recall  f1-score   support

           0       0.01      0.94      0.02      2455
           1       0.99      0.06      0.11    257616

    accuracy                           0.07    260071
   macro avg       0.50      0.50      0.07    260071
weighted avg       0.98      0.07      0.11    260071

Accuracy: 0.0684812993374886
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       1.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       1.00      0.01      0.00    131227

Accuracy: 0.005341888483315171
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.65      0.73  26119367
           1       0.67      0.84      0.74  21615229

    accuracy                           0.74  47734596
   macro avg       0.75      0.74      0.74  47734596
weighted avg       0.75      0.74      0.73  47734596

Accuracy: 0.7356280757042544
0-1%
              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.22      0.13    508421

    accuracy                           0.89  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.89      0.91  12561431

Accuracy: 0.885352950631182
1-10%
              precision    recall  f1-score   support

           0       0.67      0.45      0.54  13368467
           1       0.61      0.80      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.62  27835287

Accuracy: 0.6286138526252666
10-20%
              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8509422231155345
20-40%
              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.911348577585576
40-80%
              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9421210874450106
80-90%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9534328743268083
90-100%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9552693797474722

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.53      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.70  47734596

Accuracy: 0.7137907064301958

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.53      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.70  47734596

Accuracy: 0.7137907064301958
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9457716242679676

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9457716242679676
1-10%
              precision    recall  f1-score   support

           0       0.72      0.88      0.79  25421477
           1       0.67      0.41      0.50  14975241

    accuracy                           0.70  40396718
   macro avg       0.69      0.64      0.65  40396718
weighted avg       0.70      0.70      0.68  40396718

Accuracy: 0.7044882458025427

              precision    recall  f1-score   support

           0       0.56      0.79      0.65  13368467
           1       0.68      0.42      0.52  14466820

    accuracy                           0.60  27835287
   macro avg       0.62      0.60      0.58  27835287
weighted avg       0.62      0.60      0.58  27835287

Accuracy: 0.5956025529752935
10-20%


              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.7284883023071531
20-40%
              precision    recall  f1-score   support

           0       0.69      0.87      0.77  26072330
           1       0.75      0.51      0.61  20332940

    accuracy                           0.71  46405270
   macro avg       0.72      0.69      0.69  46405270
weighted avg       0.72      0.71      0.70  46405270

Accuracy: 0.7106556863045943

              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.84      0.88   1970425

    accuracy                           0.80   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.80      0.83   2117913

Accuracy: 0.7955336220137466
40-80%
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26113946
           1       0.76      0.53      0.62  21397219

    accuracy                           0.71  47511165
   macro avg       0.73      0.70      0.70  47511165
weighted avg       0.72      0.71      0.70  47511165

Accuracy: 0.71325651560007

              precision    recall  f1-score   support

           0       0.05      0.22      0.09     41616
           1       0.97      0.85      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8223918183914386
80-90%
              precision    recall  f1-score   support

           0       0.04      0.23      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.83    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.83      0.88    124036

Accuracy: 0.8269776516495211
90-100%
              precision    recall  f1-score   support

           0       0.03      0.22      0.06      2328
           1       0.98      0.84      0.91     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.89     99395

Accuracy: 0.8278887267971226

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.61      0.95      0.74  26119367
           1       0.83      0.26      0.39  21615229

    accuracy                           0.64  47734596
   macro avg       0.72      0.61      0.57  47734596
weighted avg       0.71      0.64      0.58  47734596

Accuracy: 0.6390852454266084
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.22      0.02      0.04    508421

    accuracy                           0.96  12561431
   macro avg       0.59      0.51      0.51  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9574953681630699
1-10%
              precision    recall  f1-score   support

           0       0.50      0.94      0.65  13368467
           1       0.71      0.14      0.24  14466820

    accuracy                           0.52  27835287
   macro avg       0.61      0.54      0.45  27835287
weighted avg       0.61      0.52      0.44  27835287

Accuracy: 0.524072124709905
10-20%
              precision    recall  f1-score   support

           0       0.14      0.60      0.23    503365
           1       0.89      0.46      0.61   3387274

    accuracy                           0.48   3890639
   macro avg       0.51      0.53      0.42   3890639
weighted avg       0.79      0.48      0.56   3890639

Accuracy: 0.4789030799310859
20-40%
              precision    recall  f1-score   support

           0       0.08      0.47      0.13    147488
           1       0.94      0.58      0.72   1970425

    accuracy                           0.58   2117913
   macro avg       0.51      0.53      0.43   2117913
weighted avg       0.88      0.58      0.68   2117913

Accuracy: 0.5766459717656013
40-80%
              precision    recall  f1-score   support

           0       0.04      0.44      0.08     41616
           1       0.97      0.61      0.75   1064279

    accuracy                           0.61   1105895
   macro avg       0.50      0.53      0.41   1105895
weighted avg       0.93      0.61      0.73   1105895

Accuracy: 0.6071516735313931
80-90%
              precision    recall  f1-score   support

           0       0.03      0.45      0.05      3093
           1       0.98      0.61      0.75    120943

    accuracy                           0.61    124036
   macro avg       0.50      0.53      0.40    124036
weighted avg       0.95      0.61      0.73    124036

Accuracy: 0.6069689444999838
90-100%
              precision    recall  f1-score   support

           0       0.03      0.44      0.05      2328
           1       0.98      0.61      0.75     97067

    accuracy                           0.60     99395
   macro avg       0.50      0.52      0.40     99395
weighted avg       0.96      0.60      0.73     99395

Accuracy: 0.6037426429900901

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.92      0.01      0.01  21615229

    accuracy                           0.55  47734596
   macro avg       0.74      0.50      0.36  47734596
weighted avg       0.72      0.55      0.39  47734596

Accuracy: 0.5498496310726082
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.959470620823376
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.80      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.64      0.50      0.32  27835287
weighted avg       0.64      0.48      0.31  27835287

Accuracy: 0.4803568937514458
10-20%
              precision    recall  f1-score   support

           0       0.13      0.99      0.23    503365
           1       0.89      0.01      0.02   3387274

    accuracy                           0.14   3890639
   macro avg       0.51      0.50      0.12   3890639
weighted avg       0.79      0.14      0.05   3890639

Accuracy: 0.13679475273856043
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.93      0.03      0.07   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.10   2117913
weighted avg       0.87      0.10      0.07   2117913

Accuracy: 0.09932844266974139
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.96      0.03      0.06   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.06   1105895

Accuracy: 0.06571781226970011
80-90%
              precision    recall  f1-score   support

           0       0.02      0.99      0.05      3093
           1       0.98      0.02      0.03    120943

    accuracy                           0.04    124036
   macro avg       0.50      0.50      0.04    124036
weighted avg       0.95      0.04      0.03    124036

Accuracy: 0.03958528169241188
90-100%
              precision    recall  f1-score   support

           0       0.02      0.99      0.05      2328
           1       0.98      0.01      0.02     97067

    accuracy                           0.04     99395
   macro avg       0.50      0.50      0.03     99395
weighted avg       0.96      0.04      0.02     99395

Accuracy: 0.03500176065194426

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.54716734169071
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9594810495715018
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471700231840236
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9594912394933348
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.66      0.73  24893266
           1       0.67      0.83      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7379611183570106
0-1%
              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.00      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.54      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9820178982466492
1-10%
              precision    recall  f1-score   support

           0       0.81      0.66      0.73  16949103
           1       0.48      0.67      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.64      0.66      0.64  24965875
weighted avg       0.70      0.66      0.67  24965875

Accuracy: 0.6632250622099165
10-20%
              precision    recall  f1-score   support

           0       0.42      0.14      0.21   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.52   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7110175363928365
20-40%
              precision    recall  f1-score   support

           0       0.25      0.09      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8179832205219297
40-80%
              precision    recall  f1-score   support

           0       0.16      0.08      0.11    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8831095818484794
80-90%
              precision    recall  f1-score   support

           0       0.11      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9094083063526442
90-100%
              precision    recall  f1-score   support

           0       0.10      0.08      0.09     13620
           1       0.95      0.96      0.95    240209

    accuracy                           0.91    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.91      0.91    253829

Accuracy: 0.9139932789397587

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24893266
           1       0.77      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7155266124360461

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24893266
           1       0.77      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7155266124360461
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.04      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9976573877269341

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.04      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9976573877269341
1-10%
              precision    recall  f1-score   support

           0       0.72      0.90      0.80  16949103
           1       0.56      0.28      0.37   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.66  24965875

Accuracy: 0.6972085696976372

              precision    recall  f1-score   support

           0       0.78      0.92      0.84  21822692
           1       0.56      0.28      0.37   8020644

    accuracy                           0.75  29843336
   macro avg       0.67      0.60      0.61  29843336
weighted avg       0.72      0.75      0.71  29843336

Accuracy: 0.7463125771193945
10-20%
              precision    recall  f1-score   support

           0       0.73      0.89      0.80  23880186
           1       0.67      0.41      0.51  13481800

    accuracy                           0.72  37361986
   macro avg       0.70      0.65      0.66  37361986
weighted avg       0.71      0.72      0.70  37361986

Accuracy: 0.7150326002477492

              precision    recall  f1-score   support

           0       0.34      0.53      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.590874824602821
20-40%
              precision    recall  f1-score   support

           0       0.71      0.87      0.78  24625160
           1       0.73      0.49      0.59  17542339

    accuracy                           0.71  42167499
   macro avg       0.72      0.68      0.68  42167499
weighted avg       0.72      0.71      0.70  42167499

Accuracy: 0.7124445772797671

              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.57      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6923231713242686
40-80%
              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.80   2719684

Accuracy: 0.7508894415674762

              precision    recall  f1-score   support

           0       0.69      0.86      0.77  24861069
           1       0.76      0.53      0.62  20026114

    accuracy                           0.71  44887183
   macro avg       0.73      0.70      0.70  44887183
weighted avg       0.72      0.71      0.70  44887183

Accuracy: 0.7147739255546511
80-90%
              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.83    315349

Accuracy: 0.7722935541257464
90-100%
              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.778106520531539

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.61      0.95      0.74  24893266
           1       0.82      0.27      0.41  20563095

    accuracy                           0.64  45456361
   macro avg       0.71      0.61      0.58  45456361
weighted avg       0.70      0.64      0.59  45456361

Accuracy: 0.6433317660426007
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.01      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990613969030199
1-10%
              precision    recall  f1-score   support

           0       0.69      0.97      0.81  16949103
           1       0.60      0.10      0.17   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.53      0.49  24965875
weighted avg       0.66      0.69      0.60  24965875

Accuracy: 0.6898538905606152
10-20%
              precision    recall  f1-score   support

           0       0.29      0.82      0.43   2057494
           1       0.79      0.25      0.39   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.40   7518650

Accuracy: 0.40979590750999184
20-40%
              precision    recall  f1-score   support

           0       0.18      0.66      0.28    744974
           1       0.88      0.44      0.58   4060539

    accuracy                           0.47   4805513
   macro avg       0.53      0.55      0.43   4805513
weighted avg       0.77      0.47      0.54   4805513

Accuracy: 0.47243322409074745
40-80%
              precision    recall  f1-score   support

           0       0.10      0.57      0.18    235909
           1       0.93      0.54      0.68   2483775

    accuracy                           0.54   2719684
   macro avg       0.52      0.55      0.43   2719684
weighted avg       0.86      0.54      0.64   2719684

Accuracy: 0.5416662376952617
80-90%
              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.57      0.71    296772

    accuracy                           0.57    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.57      0.68    315349

Accuracy: 0.5660331886259351
90-100%
              precision    recall  f1-score   support

           0       0.07      0.53      0.12     13620
           1       0.96      0.57      0.72    240209

    accuracy                           0.57    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.57      0.68    253829

Accuracy: 0.5703721796957795

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.85      0.01      0.01  20563095

    accuracy                           0.55  45456361
   macro avg       0.70      0.50      0.36  45456361
weighted avg       0.69      0.55      0.39  45456361

Accuracy: 0.5496577695693678
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992057342949539
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.57      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.62      0.50      0.41  24965875
weighted avg       0.64      0.68      0.55  24965875

Accuracy: 0.678973919399981
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.78      0.00      0.01   5461156

    accuracy                           0.28   7518650
   macro avg       0.53      0.50      0.22   7518650
weighted avg       0.64      0.28      0.12   7518650

Accuracy: 0.27544559196132284
20-40%
              precision    recall  f1-score   support

           0       0.16      0.99      0.27    744974
           1       0.88      0.01      0.02   4060539

    accuracy                           0.16   4805513
   macro avg       0.52      0.50      0.14   4805513
weighted avg       0.76      0.16      0.05   4805513

Accuracy: 0.1605220920222253
40-80%
              precision    recall  f1-score   support

           0       0.09      0.99      0.16    235909
           1       0.94      0.02      0.03   2483775

    accuracy                           0.10   2719684
   macro avg       0.51      0.50      0.10   2719684
weighted avg       0.86      0.10      0.04   2719684

Accuracy: 0.10034474593371877
80-90%
              precision    recall  f1-score   support

           0       0.06      0.98      0.11     18577
           1       0.95      0.02      0.05    296772

    accuracy                           0.08    315349
   macro avg       0.51      0.50      0.08    315349
weighted avg       0.90      0.08      0.05    315349

Accuracy: 0.08098012043799092
90-100%
              precision    recall  f1-score   support

           0       0.05      0.98      0.10     13620
           1       0.96      0.03      0.05    240209

    accuracy                           0.08    253829
   macro avg       0.51      0.50      0.08    253829
weighted avg       0.91      0.08      0.06    253829

Accuracy: 0.07825740951585516

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.69      0.76  22531902
           1       0.66      0.81      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7436157415198017
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869
1-10%
              precision    recall  f1-score   support

           0       0.93      0.89      0.91  11439888
           1       0.28      0.38      0.33   1271288

    accuracy                           0.84  12711176
   macro avg       0.61      0.64      0.62  12711176
weighted avg       0.86      0.84      0.85  12711176

Accuracy: 0.8418169176479029
10-20%
              precision    recall  f1-score   support

           0       0.71      0.53      0.61   5044441
           1       0.54      0.72      0.61   3812372

    accuracy                           0.61   8856813
   macro avg       0.62      0.62      0.61   8856813
weighted avg       0.64      0.61      0.61   8856813

Accuracy: 0.6100476548392746
20-40%
              precision    recall  f1-score   support

           0       0.54      0.29      0.38   2995598
           1       0.70      0.87      0.77   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.58      0.57   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.666961851249118
40-80%
              precision    recall  f1-score   support

           0       0.36      0.21      0.26   1295061
           1       0.82      0.90      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.59      0.56      0.56   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.759135251027336
80-90%
              precision    recall  f1-score   support

           0       0.27      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.57      0.55      0.56    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8050428501650361
90-100%
              precision    recall  f1-score   support

           0       0.25      0.19      0.22     88944
           1       0.88      0.91      0.89    577496

    accuracy                           0.81    666440
   macro avg       0.56      0.55      0.56    666440
weighted avg       0.80      0.81      0.80    666440

Accuracy: 0.8147695216373567

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.70      0.89      0.78  22531902
           1       0.77      0.50      0.60  16938696

    accuracy                           0.72  39470598
   macro avg       0.73      0.69      0.69  39470598
weighted avg       0.73      0.72      0.71  39470598

Accuracy: 0.7202673493824441

              precision    recall  f1-score   support

           0       0.70      0.89      0.78  22531902
           1       0.77      0.50      0.60  16938696

    accuracy                           0.72  39470598
   macro avg       0.73      0.69      0.69  39470598
weighted avg       0.73      0.72      0.71  39470598

Accuracy: 0.7202673493824441
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.92      0.98      0.95  12989887
           1       0.39      0.15      0.21   1271288

    accuracy                           0.90  14261175
   macro avg       0.66      0.56      0.58  14261175
weighted avg       0.87      0.90      0.88  14261175

Accuracy: 0.9034285744337336

              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.39      0.15      0.21   1271288

    accuracy                           0.89  12711176
   macro avg       0.65      0.56      0.58  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8916526684863777
10-20%


              precision    recall  f1-score   support

           0       0.63      0.85      0.72   5044441
           1       0.63      0.33      0.43   3812372

    accuracy                           0.63   8856813
   macro avg       0.63      0.59      0.58   8856813
weighted avg       0.63      0.63      0.60   8856813

Accuracy: 0.6262790012615147
20-40%
              precision    recall  f1-score   support

           0       0.75      0.91      0.82  21029926
           1       0.70      0.42      0.52  10666875

    accuracy                           0.74  31696801
   macro avg       0.73      0.66      0.67  31696801
weighted avg       0.73      0.74      0.72  31696801

Accuracy: 0.7426644411213611

              precision    recall  f1-score   support

           0       0.45      0.70      0.55   2995598
           1       0.77      0.54      0.63   5583215

    accuracy                           0.60   8578813
   macro avg       0.61      0.62      0.59   8578813
weighted avg       0.66      0.60      0.60   8578813

Accuracy: 0.5955716717452636
40-80%
              precision    recall  f1-score   support

           0       0.71      0.89      0.79  22324987
           1       0.76      0.49      0.59  15668439

    accuracy                           0.72  37993426
   macro avg       0.73      0.69      0.69  37993426
weighted avg       0.73      0.72      0.71  37993426

Accuracy: 0.7231639231481783

              precision    recall  f1-score   support

           0       0.30      0.59      0.39   1295061
           1       0.86      0.63      0.73   5001564

    accuracy                           0.62   6296625
   macro avg       0.58      0.61      0.56   6296625
weighted avg       0.74      0.62      0.66   6296625

Accuracy: 0.6249995831099994
80-90%
              precision    recall  f1-score   support

           0       0.22      0.56      0.31    117971
           1       0.90      0.66      0.76    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.54    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6425822589955744
90-100%
              precision    recall  f1-score   support

           0       0.20      0.55      0.30     88944
           1       0.91      0.66      0.77    577496

    accuracy                           0.65    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.65      0.70    666440

Accuracy: 0.6496398775583698

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.63      0.96      0.76  22531902
           1       0.82      0.26      0.39  16938696

    accuracy                           0.66  39470598
   macro avg       0.72      0.61      0.58  39470598
weighted avg       0.71      0.66      0.60  39470598

Accuracy: 0.6569262517887365
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      0.99      0.95  11439888
           1       0.46      0.06      0.11   1271288

    accuracy                           0.90  12711176
   macro avg       0.68      0.53      0.53  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8990318441031735
10-20%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.14      0.24   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.55      0.48   8856813
weighted avg       0.63      0.60      0.52   8856813

Accuracy: 0.6020663414706847
20-40%
              precision    recall  f1-score   support

           0       0.39      0.89      0.54   2995598
           1       0.81      0.26      0.39   5583215

    accuracy                           0.48   8578813
   macro avg       0.60      0.57      0.47   8578813
weighted avg       0.66      0.48      0.45   8578813

Accuracy: 0.47924951855227527
40-80%
              precision    recall  f1-score   support

           0       0.25      0.82      0.38   1295061
           1       0.88      0.36      0.51   5001564

    accuracy                           0.45   6296625
   macro avg       0.57      0.59      0.44   6296625
weighted avg       0.75      0.45      0.48   6296625

Accuracy: 0.4521333253925714
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.39      0.55    692761

    accuracy                           0.45    810732
   macro avg       0.55      0.59      0.42    810732
weighted avg       0.81      0.45      0.51    810732

Accuracy: 0.4465680397467967
90-100%
              precision    recall  f1-score   support

           0       0.17      0.78      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.59      0.41    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4483209291158994

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      1.00      0.73  22531902
           1       0.87      0.03      0.07  16938696

    accuracy                           0.58  39470598
   macro avg       0.72      0.52      0.40  39470598
weighted avg       0.70      0.58      0.45  39470598

Accuracy: 0.5835130747195673
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.53      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.72      0.50      0.48  12711176
weighted avg       0.86      0.90      0.85  12711176

Accuracy: 0.9000747059123404
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.75      0.02      0.04   3812372

    accuracy                           0.57   8856813
   macro avg       0.66      0.51      0.38   8856813
weighted avg       0.65      0.57      0.43   8856813

Accuracy: 0.5748918939577927
20-40%
              precision    recall  f1-score   support

           0       0.35      0.99      0.52   2995598
           1       0.86      0.03      0.06   5583215

    accuracy                           0.37   8578813
   macro avg       0.61      0.51      0.29   8578813
weighted avg       0.68      0.37      0.22   8578813

Accuracy: 0.3670397058427547
40-80%
              precision    recall  f1-score   support

           0       0.21      0.98      0.35   1295061
           1       0.92      0.05      0.09   5001564

    accuracy                           0.24   6296625
   macro avg       0.56      0.52      0.22   6296625
weighted avg       0.77      0.24      0.15   6296625

Accuracy: 0.2413643817124253
80-90%
              precision    recall  f1-score   support

           0       0.15      0.98      0.26    117971
           1       0.94      0.06      0.11    692761

    accuracy                           0.19    810732
   macro avg       0.55      0.52      0.19    810732
weighted avg       0.83      0.19      0.13    810732

Accuracy: 0.19361885308585328
90-100%
              precision    recall  f1-score   support

           0       0.14      0.98      0.24     88944
           1       0.94      0.06      0.12    577496

    accuracy                           0.19    666440
   macro avg       0.54      0.52      0.18    666440
weighted avg       0.84      0.19      0.14    666440

Accuracy: 0.1851239421403277

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_7_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.87      0.57      0.69  28055468
           1       0.62      0.89      0.73  21729815

    accuracy                           0.71  49785283
   macro avg       0.74      0.73      0.71  49785283
weighted avg       0.76      0.71      0.71  49785283

Accuracy: 0.7105028809417434
0-1%
              precision    recall  f1-score   support

           0       0.87      0.58      0.69  27764588
           1       0.56      0.86      0.68  17098553

    accuracy                           0.69  44863141
   macro avg       0.71      0.72      0.69  44863141
weighted avg       0.75      0.69      0.69  44863141

Accuracy: 0.6852791247942269
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.934885861424672
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9903718599920791
20-40%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.52      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9947952784106929
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9970184853905785
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9978337395071757
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9964936886395512

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055468
           1       0.71      0.66      0.69  21729815

    accuracy                           0.73  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.73      0.73      0.73  49785283

Accuracy: 0.7336467485782897

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055468
           1       0.71      0.66      0.69  21729815

    accuracy                           0.73  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.73      0.73      0.73  49785283

Accuracy: 0.7336467284920325
0-1%
              precision    recall  f1-score   support

           0       0.76      0.79      0.78  27764588
           1       0.64      0.59      0.61  17098553

    accuracy                           0.71  44863141
   macro avg       0.70      0.69      0.69  44863141
weighted avg       0.71      0.71      0.71  44863141

Accuracy: 0.7149236385388175

              precision    recall  f1-score   support

           0       0.76      0.79      0.78  27764588
           1       0.64      0.59      0.61  17098553

    accuracy                           0.71  44863141
   macro avg       0.70      0.69      0.69  44863141
weighted avg       0.71      0.71      0.71  44863141

Accuracy: 0.7149236385388175
1-10%
              precision    recall  f1-score   support

           0       0.09      0.06      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.8977537934453056

              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28052152
           1       0.70      0.66      0.68  21263340

    accuracy                           0.73  49315492
   macro avg       0.73      0.72      0.72  49315492
weighted avg       0.73      0.73      0.73  49315492

Accuracy: 0.7314300950297727
10-20%
              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28054607
           1       0.70      0.66      0.68  21520956

    accuracy                           0.73  49575563
   macro avg       0.73      0.72      0.73  49575563
weighted avg       0.73      0.73      0.73  49575563

Accuracy: 0.7326891275042101

              precision    recall  f1-score   support

           0       0.01      0.03      0.02      2455
           1       0.99      0.98      0.99    257616

    accuracy                           0.97    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.97      0.98    260071

Accuracy: 0.9714308784908736
20-40%
              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055266
           1       0.71      0.66      0.68  21651524

    accuracy                           0.73  49706790
   macro avg       0.73      0.73      0.73  49706790
weighted avg       0.73      0.73      0.73  49706790

Accuracy: 0.7333072604366526

              precision    recall  f1-score   support

           0       0.01      0.04      0.01       659
           1       1.00      0.97      0.98    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.51      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9668284727990428
40-80%
              precision    recall  f1-score   support

           0       0.75      0.79      0.77  28055435
           1       0.71      0.66      0.69  21716758

    accuracy                           0.73  49772193
   macro avg       0.73      0.73      0.73  49772193
weighted avg       0.73      0.73      0.73  49772193

Accuracy: 0.7335928517355063

              precision    recall  f1-score   support

           0       0.01      0.09      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.95     65403
   macro avg       0.50      0.52      0.49     65403
weighted avg       0.99      0.95      0.97     65403

Accuracy: 0.9506444658501904
80-90%
              precision    recall  f1-score   support

           0       0.00      0.07      0.00        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.50      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9388031410777146
90-100%
              precision    recall  f1-score   support

           0       0.01      0.22      0.02        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.50      0.58      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9381136044880786

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.90      0.77  28055468
           1       0.78      0.44      0.56  21729815

    accuracy                           0.70  49785283
   macro avg       0.73      0.67      0.67  49785283
weighted avg       0.72      0.70      0.68  49785283

Accuracy: 0.7010289566898715
0-1%
              precision    recall  f1-score   support

           0       0.69      0.91      0.78  27764588
           1       0.69      0.33      0.45  17098553

    accuracy                           0.69  44863141
   macro avg       0.69      0.62      0.61  44863141
weighted avg       0.69      0.69      0.65  44863141

Accuracy: 0.6880236272355518
1-10%
              precision    recall  f1-score   support

           0       0.08      0.19      0.11    287564
           1       0.94      0.85      0.89   4164787

    accuracy                           0.81   4452351
   macro avg       0.51      0.52      0.50   4452351
weighted avg       0.88      0.81      0.84   4452351

Accuracy: 0.8106463304442979
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.93      0.96    257616

    accuracy                           0.92    260071
   macro avg       0.50      0.50      0.49    260071
weighted avg       0.98      0.92      0.95    260071

Accuracy: 0.9243629624218002
20-40%
              precision    recall  f1-score   support

           0       0.01      0.12      0.01       659
           1       1.00      0.90      0.95    130568

    accuracy                           0.90    131227
   macro avg       0.50      0.51      0.48    131227
weighted avg       0.99      0.90      0.94    131227

Accuracy: 0.8987098691580239
40-80%
              precision    recall  f1-score   support

           0       0.00      0.20      0.01       169
           1       1.00      0.85      0.92     65234

    accuracy                           0.85     65403
   macro avg       0.50      0.53      0.46     65403
weighted avg       1.00      0.85      0.92     65403

Accuracy: 0.8507255018882925
80-90%
              precision    recall  f1-score   support

           0       0.00      0.20      0.00        15
           1       1.00      0.82      0.90      7371

    accuracy                           0.82      7386
   macro avg       0.50      0.51      0.45      7386
weighted avg       1.00      0.82      0.90      7386

Accuracy: 0.8216896831844029
90-100%
              precision    recall  f1-score   support

           0       0.01      0.39      0.01        18
           1       1.00      0.83      0.90      5686

    accuracy                           0.82      5704
   macro avg       0.50      0.61      0.46      5704
weighted avg       0.99      0.82      0.90      5704

Accuracy: 0.823632538569425

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.98      0.75  28055468
           1       0.89      0.17      0.28  21729815

    accuracy                           0.63  49785283
   macro avg       0.75      0.58      0.51  49785283
weighted avg       0.73      0.63      0.54  49785283

Accuracy: 0.6273568235014352
0-1%
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.77      0.06      0.11  17098553

    accuracy                           0.63  44863141
   macro avg       0.70      0.52      0.44  44863141
weighted avg       0.69      0.63      0.52  44863141

Accuracy: 0.6343823095221978
1-10%
              precision    recall  f1-score   support

           0       0.08      0.53      0.13    287564
           1       0.94      0.55      0.69   4164787

    accuracy                           0.55   4452351
   macro avg       0.51      0.54      0.41   4452351
weighted avg       0.89      0.55      0.66   4452351

Accuracy: 0.5476079940687515
10-20%
              precision    recall  f1-score   support

           0       0.01      0.23      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.78    260071
   macro avg       0.50      0.50      0.45    260071
weighted avg       0.98      0.78      0.87    260071

Accuracy: 0.7768071026758078
20-40%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01       659
           1       1.00      0.69      0.82    130568

    accuracy                           0.69    131227
   macro avg       0.50      0.51      0.41    131227
weighted avg       0.99      0.69      0.81    131227

Accuracy: 0.6893246054546701
40-80%
              precision    recall  f1-score   support

           0       0.00      0.48      0.01       169
           1       1.00      0.55      0.71     65234

    accuracy                           0.55     65403
   macro avg       0.50      0.52      0.36     65403
weighted avg       0.99      0.55      0.71     65403

Accuracy: 0.5524058529425255
80-90%
              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.46      0.63      7371

    accuracy                           0.46      7386
   macro avg       0.50      0.43      0.31      7386
weighted avg       1.00      0.46      0.63      7386

Accuracy: 0.45667479014351475
90-100%
              precision    recall  f1-score   support

           0       0.00      0.50      0.01        18
           1       1.00      0.46      0.63      5686

    accuracy                           0.46      5704
   macro avg       0.50      0.48      0.32      5704
weighted avg       0.99      0.46      0.63      5704

Accuracy: 0.46037868162692847

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.58      1.00      0.73  28055468
           1       0.95      0.05      0.10  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.52      0.41  49785283
weighted avg       0.74      0.58      0.45  49785283

Accuracy: 0.5848841915792665
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.74      0.00      0.01  17098553

    accuracy                           0.62  44863141
   macro avg       0.68      0.50      0.39  44863141
weighted avg       0.67      0.62      0.48  44863141

Accuracy: 0.61957714908994
1-10%
              precision    recall  f1-score   support

           0       0.07      0.85      0.13    287564
           1       0.96      0.22      0.36   4164787

    accuracy                           0.26   4452351
   macro avg       0.51      0.54      0.24   4452351
weighted avg       0.90      0.26      0.34   4452351

Accuracy: 0.2617493544421812
10-20%
              precision    recall  f1-score   support

           0       0.01      0.52      0.02      2455
           1       0.99      0.46      0.63    257616

    accuracy                           0.46    260071
   macro avg       0.50      0.49      0.32    260071
weighted avg       0.98      0.46      0.63    260071

Accuracy: 0.4642693725944069
20-40%
              precision    recall  f1-score   support

           0       0.00      0.71      0.01       659
           1       0.99      0.25      0.40    130568

    accuracy                           0.25    131227
   macro avg       0.50      0.48      0.20    131227
weighted avg       0.99      0.25      0.40    131227

Accuracy: 0.25135833326983015
40-80%
              precision    recall  f1-score   support

           0       0.00      0.91      0.00       169
           1       1.00      0.05      0.09     65234

    accuracy                           0.05     65403
   macro avg       0.50      0.48      0.05     65403
weighted avg       0.99      0.05      0.09     65403

Accuracy: 0.04969191015702644
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.01      7371

    accuracy                           0.01      7386
   macro avg       0.50      0.50      0.01      7386
weighted avg       1.00      0.01      0.01      7386

Accuracy: 0.005144868670457623
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.00      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.00      5704

Accuracy: 0.005610098176718092

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28055468
           1       0.95      0.02      0.03  21729815

    accuracy                           0.57  49785283
   macro avg       0.76      0.51      0.38  49785283
weighted avg       0.74      0.57      0.42  49785283

Accuracy: 0.5698835537401685
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.17      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.39      0.50      0.38  44863141
weighted avg       0.45      0.62      0.47  44863141

Accuracy: 0.6187671077243566
1-10%
              precision    recall  f1-score   support

           0       0.07      0.96      0.12    287564
           1       0.97      0.07      0.13   4164787

    accuracy                           0.13   4452351
   macro avg       0.52      0.52      0.13   4452351
weighted avg       0.91      0.13      0.13   4452351

Accuracy: 0.1286163197825149
10-20%
              precision    recall  f1-score   support

           0       0.01      0.85      0.02      2455
           1       0.99      0.14      0.24    257616

    accuracy                           0.14    260071
   macro avg       0.50      0.50      0.13    260071
weighted avg       0.98      0.14      0.24    260071

Accuracy: 0.14473355352961306
20-40%
              precision    recall  f1-score   support

           0       0.00      0.98      0.01       659
           1       0.99      0.01      0.01    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.49      0.01    131227
weighted avg       0.98      0.01      0.01    131227

Accuracy: 0.011354370670669908
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.87      0.56      0.69  26119367
           1       0.63      0.90      0.74  21615229

    accuracy                           0.72  47734596
   macro avg       0.75      0.73      0.71  47734596
weighted avg       0.76      0.72      0.71  47734596

Accuracy: 0.7174706370197415
0-1%
              precision    recall  f1-score   support

           0       0.97      0.87      0.92  12053010
           1       0.09      0.30      0.14    508421

    accuracy                           0.85  12561431
   macro avg       0.53      0.58      0.53  12561431
weighted avg       0.93      0.85      0.88  12561431

Accuracy: 0.8472322938365859
1-10%
              precision    recall  f1-score   support

           0       0.72      0.32      0.44  13368467
           1       0.58      0.88      0.70  14466820

    accuracy                           0.61  27835287
   macro avg       0.65      0.60      0.57  27835287
weighted avg       0.65      0.61      0.58  27835287

Accuracy: 0.6114798457080755
10-20%
              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.54      0.51      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8630667096073421
20-40%
              precision    recall  f1-score   support

           0       0.15      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.54      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9231488734428657
40-80%
              precision    recall  f1-score   support

           0       0.10      0.03      0.04     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.95   1105895
   macro avg       0.53      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9546448803909955
80-90%
              precision    recall  f1-score   support

           0       0.10      0.04      0.06      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.54      0.52      0.52    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9668483343545422
90-100%
              precision    recall  f1-score   support

           0       0.09      0.04      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9689924040444691

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.76      0.76  26119367
           1       0.71      0.72      0.71  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7399913262070973

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  26119367
           1       0.71      0.72      0.71  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7399913471562638
0-1%
              precision    recall  f1-score   support

           0       0.96      0.96      0.96  12053010
           1       0.12      0.14      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.93  12561431

Accuracy: 0.9220558549420046

              precision    recall  f1-score   support

           0       0.96      0.96      0.96  12053010
           1       0.12      0.14      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.93  12561431

Accuracy: 0.9220558549420046
1-10%
              precision    recall  f1-score   support

           0       0.78      0.78      0.78  25421477
           1       0.62      0.62      0.62  14975241

    accuracy                           0.72  40396718
   macro avg       0.70      0.70      0.70  40396718
weighted avg       0.72      0.72      0.72  40396718

Accuracy: 0.7203608223816598

              precision    recall  f1-score   support

           0       0.61      0.62      0.62  13368467
           1       0.64      0.64      0.64  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.63      0.63  27835287
weighted avg       0.63      0.63      0.63  27835287

Accuracy: 0.6293404124053041
10-20%
              precision    recall  f1-score   support

           0       0.77      0.77      0.77  25924842
           1       0.67      0.68      0.67  18362515

    accuracy                           0.73  44287357
   macro avg       0.72      0.72      0.72  44287357
weighted avg       0.73      0.73      0.73  44287357

Accuracy: 0.7285565042863136

              precision    recall  f1-score   support

           0       0.18      0.13      0.15    503365
           1       0.88      0.92      0.90   3387274

    accuracy                           0.81   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.81      0.80   3890639

Accuracy: 0.8136527187436305
20-40%
              precision    recall  f1-score   support

           0       0.77      0.76      0.76  26072330
           1       0.70      0.70      0.70  20332940

    accuracy                           0.74  46405270
   macro avg       0.73      0.73      0.73  46405270
weighted avg       0.74      0.74      0.74  46405270

Accuracy: 0.7352348343194641

              precision    recall  f1-score   support

           0       0.10      0.10      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.88      0.87      0.87   2117913

Accuracy: 0.8748843791033909
40-80%


              precision    recall  f1-score   support

           0       0.06      0.10      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.92   1105895

Accuracy: 0.9042368398446508
80-90%
              precision    recall  f1-score   support

           0       0.04      0.11      0.06      3093
           1       0.98      0.93      0.96    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9142910122867555
90-100%
              precision    recall  f1-score   support

           0       0.04      0.11      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.93     99395

Accuracy: 0.9157502892499623

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.87      0.77  26119367
           1       0.77      0.53      0.62  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.70  47734596

Accuracy: 0.712363691105713
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.946364948388444
1-10%
              precision    recall  f1-score   support

           0       0.55      0.79      0.65  13368467
           1       0.68      0.41      0.51  14466820

    accuracy                           0.59  27835287
   macro avg       0.62      0.60      0.58  27835287
weighted avg       0.62      0.59      0.58  27835287

Accuracy: 0.5943696215526716
10-20%
              precision    recall  f1-score   support

           0       0.17      0.29      0.21    503365
           1       0.88      0.79      0.83   3387274

    accuracy                           0.72   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.72      0.75   3890639

Accuracy: 0.7230765948729759
20-40%
              precision    recall  f1-score   support

           0       0.10      0.24      0.14    147488
           1       0.94      0.83      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7897099644791831
40-80%
              precision    recall  f1-score   support

           0       0.05      0.23      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.816456354355522
80-90%
              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.82    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.82      0.88    124036

Accuracy: 0.8211406365893773
90-100%
              precision    recall  f1-score   support

           0       0.03      0.23      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.82     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.82      0.88     99395

Accuracy: 0.8221037275516877

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.96      0.74  26119367
           1       0.83      0.22      0.34  21615229

    accuracy                           0.63  47734596
   macro avg       0.72      0.59      0.54  47734596
weighted avg       0.70      0.63      0.56  47734596

Accuracy: 0.625837767643409
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.23      0.01      0.03    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9581693359618024
1-10%
              precision    recall  f1-score   support

           0       0.50      0.95      0.65  13368467
           1       0.71      0.11      0.19  14466820

    accuracy                           0.51  27835287
   macro avg       0.61      0.53      0.42  27835287
weighted avg       0.61      0.51      0.41  27835287

Accuracy: 0.5148418983429199
10-20%
              precision    recall  f1-score   support

           0       0.14      0.66      0.23    503365
           1       0.89      0.39      0.54   3387274

    accuracy                           0.43   3890639
   macro avg       0.51      0.53      0.39   3890639
weighted avg       0.79      0.43      0.50   3890639

Accuracy: 0.4256416490967165
20-40%
              precision    recall  f1-score   support

           0       0.08      0.53      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.53   2117913
   macro avg       0.51      0.53      0.40   2117913
weighted avg       0.88      0.53      0.64   2117913

Accuracy: 0.5250527287948088
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.68   1105895

Accuracy: 0.5566577297121336
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.55    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.55      0.69    124036

Accuracy: 0.5545970524686381
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.55      0.71     97067

    accuracy                           0.55     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.55      0.69     99395

Accuracy: 0.5526837366064692

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.71      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.63      0.50      0.35  47734596
weighted avg       0.62      0.55      0.39  47734596

Accuracy: 0.547201363137126
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9594811291802662
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.81      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.65      0.50      0.32  27835287
weighted avg       0.65      0.48      0.31  27835287

Accuracy: 0.4802708518866718
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.89      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.51      0.50      0.11   3890639
weighted avg       0.79      0.13      0.03   3890639

Accuracy: 0.12957408795830197
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.92      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.50      0.50      0.07   2117913
weighted avg       0.86      0.07      0.01   2117913

Accuracy: 0.07003498255121905
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       1.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.52      0.50      0.04   1105895
weighted avg       0.96      0.04      0.00   1105895

Accuracy: 0.037641909946242634
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471702536248553
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9594921151897423
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.57      0.69  24893266
           1       0.63      0.90      0.74  20563095

    accuracy                           0.72  45456361
   macro avg       0.75      0.74      0.72  45456361
weighted avg       0.77      0.72      0.72  45456361

Accuracy: 0.7202560275337483
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.00      0.14      0.01      3872

    accuracy                           0.97   4877461
   macro avg       0.50      0.56      0.50   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9694410678014648
1-10%
              precision    recall  f1-score   support

           0       0.84      0.55      0.67  16949103
           1       0.45      0.79      0.57   8016772

    accuracy                           0.63  24965875
   macro avg       0.65      0.67      0.62  24965875
weighted avg       0.72      0.63      0.64  24965875

Accuracy: 0.6252288774176751
10-20%
              precision    recall  f1-score   support

           0       0.43      0.06      0.11   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.58      0.52      0.47   7518650
weighted avg       0.65      0.72      0.64   7518650

Accuracy: 0.7206546387981885
20-40%
              precision    recall  f1-score   support

           0       0.27      0.04      0.07    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.49   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8335176702258427
40-80%
              precision    recall  f1-score   support

           0       0.18      0.04      0.07    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.51      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.9005737431260397
80-90%
              precision    recall  f1-score   support

           0       0.14      0.04      0.07     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.54      0.51      0.52    315349
weighted avg       0.90      0.93      0.91    315349

Accuracy: 0.9278323381396485
90-100%
              precision    recall  f1-score   support

           0       0.13      0.05      0.07     13620
           1       0.95      0.98      0.97    240209

    accuracy                           0.93    253829
   macro avg       0.54      0.51      0.52    253829
weighted avg       0.90      0.93      0.92    253829

Accuracy: 0.932612112879143

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.76      0.76  24893266
           1       0.71      0.71      0.71  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7417637324729975

              precision    recall  f1-score   support

           0       0.76      0.76      0.76  24893266
           1       0.71      0.71      0.71  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7417637324729975
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.06      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9933961542696087

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.06      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9933961542696087
1-10%
              precision    recall  f1-score   support

           0       0.76      0.79      0.78  16949103
           1       0.52      0.48      0.50   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6907540793182695

              precision    recall  f1-score   support

           0       0.81      0.84      0.82  21822692
           1       0.52      0.48      0.50   8020644

    accuracy                           0.74  29843336
   macro avg       0.67      0.66      0.66  29843336
weighted avg       0.73      0.74      0.74  29843336

Accuracy: 0.7402165428154547
10-20%
              precision    recall  f1-score   support

           0       0.79      0.79      0.79  23880186
           1       0.62      0.62      0.62  13481800

    accuracy                           0.73  37361986
   macro avg       0.71      0.70      0.71  37361986
weighted avg       0.73      0.73      0.73  37361986

Accuracy: 0.728249563607245

              precision    recall  f1-score   support

           0       0.39      0.30      0.34   2057494
           1       0.76      0.83      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6807497356573321
20-40%
              precision    recall  f1-score   support

           0       0.77      0.77      0.77  24625160
           1       0.68      0.68      0.68  17542339

    accuracy                           0.73  42167499
   macro avg       0.73      0.73      0.73  42167499
weighted avg       0.73      0.73      0.73  42167499

Accuracy: 0.7338795691914287

              precision    recall  f1-score   support

           0       0.24      0.20      0.22    744974
           1       0.86      0.88      0.87   4060539

    accuracy                           0.78   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.78      0.77   4805513

Accuracy: 0.7776518344659561
40-80%
              precision    recall  f1-score   support

           0       0.14      0.17      0.15    235909
           1       0.92      0.90      0.91   2483775

    accuracy                           0.84   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.84      0.84   2719684

Accuracy: 0.8381433284160954

              precision    recall  f1-score   support

           0       0.77      0.76      0.77  24861069
           1       0.71      0.71      0.71  20026114

    accuracy                           0.74  44887183
   macro avg       0.74      0.74      0.74  44887183
weighted avg       0.74      0.74      0.74  44887183

Accuracy: 0.7401968397081189
80-90%
              precision    recall  f1-score   support

           0       0.10      0.16      0.12     18577
           1       0.95      0.91      0.93    296772

    accuracy                           0.86    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.86      0.88    315349

Accuracy: 0.8629772093775467
90-100%
              precision    recall  f1-score   support

           0       0.09      0.16      0.11     13620
           1       0.95      0.91      0.93    240209

    accuracy                           0.87    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.87      0.89    253829

Accuracy: 0.8682617037454349

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.87      0.77  24893266
           1       0.77      0.53      0.63  20563095

    accuracy                           0.71  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.72      0.71      0.70  45456361

Accuracy: 0.7141359819806077
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.02      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978650777525437
1-10%
              precision    recall  f1-score   support

           0       0.72      0.90      0.80  16949103
           1       0.56      0.28      0.37   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.66  24965875

Accuracy: 0.6974136896864219
10-20%
              precision    recall  f1-score   support

           0       0.34      0.54      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5881461432571007
20-40%
              precision    recall  f1-score   support

           0       0.22      0.39      0.28    744974
           1       0.87      0.74      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.57      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6866779883854232
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.85   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.7440886514756861
80-90%
              precision    recall  f1-score   support

           0       0.09      0.32      0.14     18577
           1       0.95      0.79      0.86    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.7665887635603728
90-100%
              precision    recall  f1-score   support

           0       0.08      0.32      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.77    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.77      0.83    253829

Accuracy: 0.7725594790193397

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.96      0.74  24893266
           1       0.82      0.23      0.36  20563095

    accuracy                           0.63  45456361
   macro avg       0.71      0.60      0.55  45456361
weighted avg       0.70      0.63      0.57  45456361

Accuracy: 0.6300721696573995
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.01      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991124480544283
1-10%
              precision    recall  f1-score   support

           0       0.69      0.97      0.81  16949103
           1       0.61      0.09      0.15   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.53      0.48  24965875
weighted avg       0.67      0.69      0.60  24965875

Accuracy: 0.6885729020112453
10-20%
              precision    recall  f1-score   support

           0       0.29      0.85      0.43   2057494
           1       0.79      0.21      0.33   5461156

    accuracy                           0.39   7518650
   macro avg       0.54      0.53      0.38   7518650
weighted avg       0.65      0.39      0.36   7518650

Accuracy: 0.3869113471168361
20-40%
              precision    recall  f1-score   support

           0       0.17      0.72      0.28    744974
           1       0.88      0.37      0.52   4060539

    accuracy                           0.42   4805513
   macro avg       0.53      0.55      0.40   4805513
weighted avg       0.77      0.42      0.48   4805513

Accuracy: 0.42453532016248835
40-80%
              precision    recall  f1-score   support

           0       0.10      0.62      0.17    235909
           1       0.93      0.48      0.63   2483775

    accuracy                           0.49   2719684
   macro avg       0.52      0.55      0.40   2719684
weighted avg       0.86      0.49      0.59   2719684

Accuracy: 0.4898171993511011
80-90%
              precision    recall  f1-score   support

           0       0.07      0.59      0.13     18577
           1       0.95      0.51      0.67    296772

    accuracy                           0.52    315349
   macro avg       0.51      0.55      0.40    315349
weighted avg       0.90      0.52      0.63    315349

Accuracy: 0.5170874174327491
90-100%
              precision    recall  f1-score   support

           0       0.06      0.58      0.12     13620
           1       0.96      0.52      0.67    240209

    accuracy                           0.52    253829
   macro avg       0.51      0.55      0.39    253829
weighted avg       0.91      0.52      0.64    253829

Accuracy: 0.5218434457843666

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.60      0.71  22531902
           1       0.63      0.89      0.73  16938696

    accuracy                           0.72  39470598
   macro avg       0.75      0.74      0.72  39470598
weighted avg       0.77      0.72      0.72  39470598

Accuracy: 0.7246775688577103
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999935483829344
1-10%
              precision    recall  f1-score   support

           0       0.94      0.83      0.88  11439888
           1       0.25      0.50      0.34   1271288

    accuracy                           0.80  12711176
   macro avg       0.60      0.67      0.61  12711176
weighted avg       0.87      0.80      0.83  12711176

Accuracy: 0.8012117840237599
10-20%
              precision    recall  f1-score   support

           0       0.75      0.37      0.49   5044441
           1       0.50      0.84      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.62      0.60      0.56   8856813
weighted avg       0.64      0.57      0.55   8856813

Accuracy: 0.5689449466755141
20-40%
              precision    recall  f1-score   support

           0       0.56      0.16      0.25   2995598
           1       0.67      0.93      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.55      0.52   8578813
weighted avg       0.64      0.66      0.60   8578813

Accuracy: 0.6637653717361598
40-80%
              precision    recall  f1-score   support

           0       0.37      0.12      0.18   1295061
           1       0.81      0.95      0.87   5001564

    accuracy                           0.78   6296625
   macro avg       0.59      0.53      0.52   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7783166378814047
80-90%
              precision    recall  f1-score   support

           0       0.29      0.11      0.16    117971
           1       0.86      0.95      0.91    692761

    accuracy                           0.83    810732
   macro avg       0.57      0.53      0.53    810732
weighted avg       0.78      0.83      0.80    810732

Accuracy: 0.8312426301169807
90-100%
              precision    recall  f1-score   support

           0       0.27      0.11      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8419107496548827

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.77      0.80      0.78  22531902
           1       0.72      0.68      0.70  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7469073055341092

              precision    recall  f1-score   support

           0       0.77      0.80      0.78  22531902
           1       0.72      0.68      0.70  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7469072548634809
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.95      0.94  12989887
           1       0.33      0.25      0.28   1271288

    accuracy                           0.89  14261175
   macro avg       0.63      0.60      0.61  14261175
weighted avg       0.87      0.89      0.88  14261175

Accuracy: 0.8878781727312091

              precision    recall  f1-score   support

           0       0.92      0.94      0.93  11439888
           1       0.33      0.25      0.28   1271288

    accuracy                           0.87  12711176
   macro avg       0.62      0.60      0.61  12711176
weighted avg       0.86      0.87      0.87  12711176

Accuracy: 0.8742061316749922
10-20%
              precision    recall  f1-score   support

           0       0.85      0.88      0.87  18034328
           1       0.53      0.46      0.49   5083660

    accuracy                           0.79  23117988
   macro avg       0.69      0.67      0.68  23117988
weighted avg       0.78      0.79      0.78  23117988

Accuracy: 0.7898850453594837

              precision    recall  f1-score   support

           0       0.67      0.71      0.69   5044441
           1       0.58      0.53      0.55   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6320973469802287
20-40%


              precision    recall  f1-score   support

           0       0.50      0.48      0.49   2995598
           1       0.73      0.74      0.74   5583215

    accuracy                           0.65   8578813
   macro avg       0.62      0.61      0.62   8578813
weighted avg       0.65      0.65      0.65   8578813

Accuracy: 0.6532376915081376
40-80%
              precision    recall  f1-score   support

           0       0.78      0.80      0.79  22324987
           1       0.70      0.67      0.69  15668439

    accuracy                           0.75  37993426
   macro avg       0.74      0.74      0.74  37993426
weighted avg       0.75      0.75      0.75  37993426

Accuracy: 0.7466853081372551

              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.82   5001564

    accuracy                           0.72   6296625
   macro avg       0.58      0.59      0.59   6296625
weighted avg       0.73      0.72      0.72   6296625

Accuracy: 0.7153953109800886
80-90%
              precision    recall  f1-score   support

           0       0.24      0.35      0.29    117971
           1       0.88      0.82      0.85    692761

    accuracy                           0.75    810732
   macro avg       0.56      0.58      0.57    810732
weighted avg       0.79      0.75      0.77    810732

Accuracy: 0.7487714805879131
90-100%
              precision    recall  f1-score   support

           0       0.23      0.34      0.27     88944
           1       0.89      0.82      0.85    577496

    accuracy                           0.76    666440
   macro avg       0.56      0.58      0.56    666440
weighted avg       0.80      0.76      0.78    666440

Accuracy: 0.7572924794430106

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.70      0.89      0.78  22531902
           1       0.77      0.49      0.60  16938696

    accuracy                           0.72  39470598
   macro avg       0.73      0.69      0.69  39470598
weighted avg       0.73      0.72      0.70  39470598

Accuracy: 0.7184106002143672
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.39      0.14      0.21   1271288

    accuracy                           0.89  12711176
   macro avg       0.65      0.56      0.58  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8918240137655241
10-20%
              precision    recall  f1-score   support

           0       0.63      0.85      0.72   5044441
           1       0.63      0.32      0.42   3812372

    accuracy                           0.63   8856813
   macro avg       0.63      0.59      0.57   8856813
weighted avg       0.63      0.63      0.59   8856813

Accuracy: 0.6253006583745191
20-40%
              precision    recall  f1-score   support

           0       0.45      0.70      0.55   2995598
           1       0.77      0.53      0.63   5583215

    accuracy                           0.59   8578813
   macro avg       0.61      0.62      0.59   8578813
weighted avg       0.66      0.59      0.60   8578813

Accuracy: 0.5924746232375039
40-80%
              precision    recall  f1-score   support

           0       0.29      0.60      0.39   1295061
           1       0.86      0.63      0.72   5001564

    accuracy                           0.62   6296625
   macro avg       0.57      0.61      0.56   6296625
weighted avg       0.74      0.62      0.66   6296625

Accuracy: 0.6200054791257221
80-90%
              precision    recall  f1-score   support

           0       0.22      0.57      0.31    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6367763946655615
90-100%
              precision    recall  f1-score   support

           0       0.20      0.56      0.30     88944
           1       0.91      0.66      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.70    666440

Accuracy: 0.6435207970710042

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.59      0.56  39470598
weighted avg       0.71      0.65      0.58  39470598

Accuracy: 0.6471920947334013
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      0.99      0.95  11439888
           1       0.47      0.05      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8993622619968443
10-20%
              precision    recall  f1-score   support

           0       0.59      0.96      0.73   5044441
           1       0.68      0.13      0.21   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.47   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5986118257210579
20-40%
              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.82      0.23      0.35   5583215

    accuracy                           0.46   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.67      0.46      0.42   8578813

Accuracy: 0.46333006675865296
40-80%
              precision    recall  f1-score   support

           0       0.24      0.85      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.42   6296625
   macro avg       0.57      0.58      0.42   6296625
weighted avg       0.75      0.42      0.45   6296625

Accuracy: 0.424655748119032
80-90%
              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.41      0.47    810732

Accuracy: 0.41438601165366606
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.35      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.4150996338755177

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.91      0.00      0.01  16938696

    accuracy                           0.57  39470598
   macro avg       0.74      0.50      0.37  39470598
weighted avg       0.72      0.57      0.42  39470598

Accuracy: 0.5721525931783451
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.55      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.50      0.47  12711176
weighted avg       0.87      0.90      0.85  12711176

Accuracy: 0.8999977657456714
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.68      0.50      0.36   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5702003643974418
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.91      0.00      0.01   5583215

    accuracy                           0.35   8578813
   macro avg       0.63      0.50      0.26   8578813
weighted avg       0.72      0.35      0.19   8578813

Accuracy: 0.35125034197621513
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.96      0.00      0.01   5001564

    accuracy                           0.21   6296625
   macro avg       0.58      0.50      0.18   6296625
weighted avg       0.80      0.21      0.08   6296625

Accuracy: 0.20910853036348837
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.97      0.00      0.01    692761

    accuracy                           0.15    810732
   macro avg       0.56      0.50      0.13    810732
weighted avg       0.85      0.15      0.05    810732

Accuracy: 0.1496191096441241
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.98      0.00      0.01    577496

    accuracy                           0.14    666440
   macro avg       0.56      0.50      0.12    666440
weighted avg       0.86      0.14      0.04    666440

Accuracy: 0.13763879719104496

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.47      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.68  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.68      0.66  49785283

Accuracy: 0.6754580063349244
0-1%
              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6463347272095817
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256453880155708

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.73  49785283
   macro avg       0.74      0.74      0.73  49785283
weighted avg       0.75      0.73      0.73  49785283

Accuracy: 0.7256452875842847
0-1%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.70273686365384

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.7027367522037746
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9287387719431823

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.83      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.723140995936936
10-20%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.73  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7245276266454099

              precision    recall  f1-score   support

           0       0.04      0.01      0.02      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.51      0.50      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.987464961491285
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.73  49706790
   macro avg       0.74      0.74      0.73  49706790
weighted avg       0.75      0.73      0.73  49706790

Accuracy: 0.7252297321955411

              precision    recall  f1-score   support

           0       0.02      0.02      0.02       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.51      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.990474521249438
40-80%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.73  49772193
   macro avg       0.74      0.74      0.73  49772193
weighted avg       0.75      0.73      0.73  49772193

Accuracy: 0.7255765885180104

              precision    recall  f1-score   support

           0       0.02      0.07      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.53      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.989190098313533
80-90%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9883563498510696
90-100%
              precision    recall  f1-score   support

           0       0.06      0.22      0.09        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.53      0.61      0.54      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9857994389901823

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7356635293205022
0-1%
              precision    recall  f1-score   support

           0       0.78      0.76      0.77  27764588
           1       0.62      0.65      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7159833726309979
1-10%
              precision    recall  f1-score   support

           0       0.09      0.05      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.89   4452351

Accuracy: 0.9088562424660589
10-20%
              precision    recall  f1-score   support

           0       0.02      0.03      0.02      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.50      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9763910624406412
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9748451157155159
40-80%
              precision    recall  f1-score   support

           0       0.01      0.11      0.02       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.54      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9641759552314114
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9568101814243163
90-100%
              precision    recall  f1-score   support

           0       0.01      0.22      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.51      0.59      0.50      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9507363253856943

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.7116202794307708
0-1%
              precision    recall  f1-score   support

           0       0.70      0.88      0.78  27764588
           1       0.68      0.39      0.50  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6969017394479803
1-10%
              precision    recall  f1-score   support

           0       0.08      0.15      0.11    287564
           1       0.94      0.89      0.91   4164787

    accuracy                           0.84   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.84      0.86   4452351

Accuracy: 0.8377809835747451
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.95      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9370979463300406
20-40%
              precision    recall  f1-score   support

           0       0.01      0.12      0.01       659
           1       1.00      0.92      0.96    130568

    accuracy                           0.92    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.92      0.95    131227

Accuracy: 0.91796657700016
40-80%
              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.88      0.94     65234

    accuracy                           0.88     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.88      0.93     65403

Accuracy: 0.8798067366940354
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.86      0.92      7371

    accuracy                           0.86      7386
   macro avg       0.50      0.50      0.46      7386
weighted avg       1.00      0.86      0.92      7386

Accuracy: 0.8575683725968047
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.86      0.92      5686

    accuracy                           0.85      5704
   macro avg       0.50      0.59      0.47      5704
weighted avg       0.99      0.85      0.92      5704

Accuracy: 0.8539621318373072

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.90      0.15      0.26  21729815

    accuracy                           0.62  49785283
   macro avg       0.75      0.57      0.50  49785283
weighted avg       0.73      0.62      0.53  49785283

Accuracy: 0.6226645532978089
0-1%
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.78      0.05      0.09  17098553

    accuracy                           0.63  44863141
   macro avg       0.71      0.52      0.43  44863141
weighted avg       0.69      0.63      0.51  44863141

Accuracy: 0.6318400443696085
1-10%
              precision    recall  f1-score   support

           0       0.07      0.56      0.13    287564
           1       0.94      0.52      0.67   4164787

    accuracy                           0.52   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.52      0.64   4452351

Accuracy: 0.5229810048668669
10-20%
              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.51      0.44    260071
weighted avg       0.98      0.76      0.86    260071

Accuracy: 0.7600386048425237
20-40%
              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.67    131227
   macro avg       0.50      0.51      0.41    131227
weighted avg       0.99      0.67      0.80    131227

Accuracy: 0.6670807074763577
40-80%
              precision    recall  f1-score   support

           0       0.00      0.50      0.01       169
           1       1.00      0.52      0.68     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.51      0.34     65403
weighted avg       0.99      0.52      0.68     65403

Accuracy: 0.5198232496980261
80-90%
              precision    recall  f1-score   support

           0       0.00      0.53      0.00        15
           1       1.00      0.42      0.59      7371

    accuracy                           0.42      7386
   macro avg       0.50      0.48      0.30      7386
weighted avg       1.00      0.42      0.59      7386

Accuracy: 0.4217438396967235
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.42      0.59      5686

    accuracy                           0.42      5704
   macro avg       0.50      0.49      0.30      5704
weighted avg       0.99      0.42      0.59      5704

Accuracy: 0.41917952314165496

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5763193713290733
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.56      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.59      0.50      0.38  44863141
weighted avg       0.60      0.62      0.47  44863141

Accuracy: 0.6189191256136078
1-10%
              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.14      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18705465943722765
10-20%
              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.31      0.47    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.3102037520523242
20-40%
              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.09      0.16    130568

    accuracy                           0.09    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.09      0.16    131227

Accuracy: 0.08940233336127473
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.00449520664189716
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6900730656649948
0-1%
              precision    recall  f1-score   support

           0       0.97      0.82      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7982951942338417
1-10%
              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.59      0.52  27835287

Accuracy: 0.5850971825797953
10-20%
              precision    recall  f1-score   support

           0       0.28      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8686557658009392
20-40%
              precision    recall  f1-score   support

           0       0.24      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.59      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9285985779396981
40-80%
              precision    recall  f1-score   support

           0       0.22      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.59      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9606002378164292
80-90%
              precision    recall  f1-score   support

           0       0.23      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9733948208584604
90-100%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.60      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.9749484380502037

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341861236240482
0-1%
              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8826342317208923
1-10%
              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7066991432323785

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6273036451896472
10-20%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7194057437204934

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8513390730931346
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7281674904595965

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9113830454792052
40-80%
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7331493976205382

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9421988525131229
80-90%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.9537311748202135
90-100%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9557724231601187

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409371391767933
0-1%
              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.9176135266754242
1-10%
              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.63      0.63  27835287
weighted avg       0.63      0.63      0.63  27835287

Accuracy: 0.6313735511331354
10-20%
              precision    recall  f1-score   support

           0       0.18      0.11      0.14    503365
           1       0.88      0.92      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8199527121380318
20-40%
              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8805451404283368
40-80%
              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.910039379868794
80-90%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.9204343900158019
90-100%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.922571557925449

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148143455534849
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.08      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455579543445328
1-10%
              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.53  14466820

    accuracy                           0.60  27835287
   macro avg       0.62      0.60      0.59  27835287
weighted avg       0.62      0.60      0.59  27835287

Accuracy: 0.5979673570457528
10-20%
              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.79      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.75   3890639

Accuracy: 0.7277953570094784
20-40%
              precision    recall  f1-score   support

           0       0.10      0.24      0.14    147488
           1       0.94      0.83      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7921571849268596
40-80%
              precision    recall  f1-score   support

           0       0.05      0.23      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8188960073062994
80-90%
              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.82    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.82      0.88    124036

Accuracy: 0.8241800767519107
90-100%
              precision    recall  f1-score   support

           0       0.03      0.23      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8256954575179838

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.57      0.49  47734596
weighted avg       0.70      0.60      0.52  47734596

Accuracy: 0.6040380021232399
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.61      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588680620862384
1-10%
              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.5017235856055661
10-20%
              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33489614430945663
20-40%
              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.42843166834520585
40-80%
              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.46      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4614669566278896
80-90%
              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.46      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.46047921571156764
90-100%
              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.46     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.46      0.61     99395

Accuracy: 0.45620001006086824

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471720762023418
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9594990411522382
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.72      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6929913945377194
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9517591222154314
1-10%
              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.58  24965875
   macro avg       0.65      0.66      0.57  24965875
weighted avg       0.73      0.58      0.58  24965875

Accuracy: 0.5750368052391515
10-20%
              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249188351632274
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8414982958114982
40-80%
              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.58      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094442589653798
80-90%
              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372504748706988
90-100%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423588321271407

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422

              precision    recall  f1-score   support

           0       0.83      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366924730292422
0-1%
              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132

              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834992017363132
1-10%
              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6596058820289695

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7125415536654481
10-20%
              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7125601674386367

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7126340499956774
20-40%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.82      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7247647293475954

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8196529694124228
40-80%
              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8846141684107418

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344498985378521
80-90%
              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.9114885412669772
90-100%
              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9161088764483176

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428688363329392
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929309532152076
1-10%
              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6879734838053944
10-20%
              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6884822408278082
20-40%
              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7853706773865766
40-80%
              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.846118151961772
80-90%
              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.8717547859672934
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8770668442140181

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.64  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7167501155668841
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978810696794911
1-10%
              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6979341601285755
10-20%
              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5978731554201885
20-40%
              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6913786311679939
40-80%
              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7468573554868875
80-90%
              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.7707206935807629
90-100%
              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7772910108774017

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.51  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6085714824378484
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.53      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991608338846789
1-10%
              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6863939677660006
10-20%
              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3544235999813796
20-40%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.35      0.38   4805513

Accuracy: 0.34678961434502414
40-80%
              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.37      0.53   2483775

    accuracy                           0.40   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.40      0.49   2719684

Accuracy: 0.39642436400699493
80-90%
              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.43    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.43      0.55    315349

Accuracy: 0.4260454290325956
90-100%
              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.56    253829

Accuracy: 0.4328110657174712

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886571366362374
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999606451359001
1-10%
              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7289502560581335
10-20%
              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5069575252407384
20-40%
              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6575041325647266
40-80%
              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7901089869572986
80-90%
              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478597119640029
90-100%
              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8596662865374227

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380751363331257
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869
1-10%
              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.8480883938385161

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295643927831697
10-20%
              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7513015406011977

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5954560630330572
20-40%


              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660389963040342
40-80%
              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7348150177349102

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7679885653028408
80-90%
              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8173909504003789
90-100%
              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8274458315827381

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480763022642829
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999993548382935
1-10%
              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.863745494516007
10-20%
              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6257444974845918
20-40%
              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613930155605443
40-80%
              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355327655688564
80-90%
              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.7745383184578875
90-100%
              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.7838875217573975

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.7295519059528817
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877083442161449
10-20%
              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.629026716494974
20-40%
              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154998366324106
40-80%
              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6527463522124948
80-90%
              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.6739588421327887
90-100%
              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813891723185883

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.648759767967032
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.899239928705259
10-20%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995566351011362
20-40%
              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.46709667176566266
40-80%
              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.4279365533122903
80-90%
              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41600306883162375
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.41627303283116257

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.70  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7257770333453764
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7021744866236629
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766295172008965
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7471380570522247
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7641360852691077
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7653238955652405

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7659301878073398

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%


              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.776866930735334
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7588701156702337
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9354087312523204
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690296548078275
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7502877027714132
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9342538357824889
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905410445609084
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.35      0.50  21729815

    accuracy                           0.69  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.69      0.66  49785283

Accuracy: 0.694558209099665
0-1%
              precision    recall  f1-score   support

           0       0.67      0.97      0.79  27764588
           1       0.79      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6781949351250284
1-10%
              precision    recall  f1-score   support

           0       0.08      0.16      0.11    287564
           1       0.94      0.88      0.91   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.83      0.86   4452351

Accuracy: 0.833451585465746
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9368441694767967
20-40%
              precision    recall  f1-score   support

           0       0.01      0.09      0.02       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9447674640127413
40-80%
              precision    recall  f1-score   support

           0       0.01      0.15      0.01       169
           1       1.00      0.95      0.97     65234

    accuracy                           0.95     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.95      0.97     65403

Accuracy: 0.9471889668669633
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.95      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.95      0.97      7386

Accuracy: 0.9505821825074465
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.95      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.95      0.97      5704

Accuracy: 0.9481065918653576

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.7020233710577545
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.861267637421246
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768482645786982
10-20%
              precision    recall  f1-score   support

           0       0.18      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696370956030616
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9300216769999523
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9622577188611938
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410362915818959

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7410363125310624
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262706613601587
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.76      0.71      0.72  40396718

Accuracy: 0.7132826483577206

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6171659735356779
10-20%


              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554936605529323
20-40%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26072330
           1       0.65      0.86      0.74  20332940

    accuracy                           0.73  46405270
   macro avg       0.75      0.75      0.73  46405270
weighted avg       0.76      0.73      0.73  46405270

Accuracy: 0.7347420454616469

              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9222324052026688
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399448950578248

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9582654772831055
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721613080073527
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9743146033502691

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7474979153484403
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442247463684671
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252443166833523
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8299675194743075
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9069258274537245
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9500513159025044
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.966880583056532
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9694954474571156

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.703846723663483
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548723389874928
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.5968417354561496
10-20%
              precision    recall  f1-score   support

           0       0.15      0.36      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.49   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6519402082794111
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7003502976751169
40-80%
              precision    recall  f1-score   support

           0       0.04      0.31      0.08     41616
           1       0.96      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7280835884057709
80-90%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7379147989293431
90-100%
              precision    recall  f1-score   support

           0       0.03      0.28      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7400573469490417

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.82      0.02      0.03  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.37  47734596
weighted avg       0.67      0.55      0.40  47734596

Accuracy: 0.5529226014607938
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.46      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.71      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595244363480562
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.71      0.01      0.02  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4835334013261656
10-20%
              precision    recall  f1-score   support

           0       0.13      0.98      0.23    503365
           1       0.88      0.03      0.05   3387274

    accuracy                           0.15   3890639
   macro avg       0.51      0.50      0.14   3890639
weighted avg       0.78      0.15      0.08   3890639

Accuracy: 0.14965665023149155
20-40%
              precision    recall  f1-score   support

           0       0.07      0.97      0.13    147488
           1       0.94      0.03      0.06   1970425

    accuracy                           0.10   2117913
   macro avg       0.50      0.50      0.10   2117913
weighted avg       0.88      0.10      0.07   2117913

Accuracy: 0.09791384254216297
40-80%
              precision    recall  f1-score   support

           0       0.04      0.97      0.07     41616
           1       0.97      0.04      0.07   1064279

    accuracy                           0.07   1105895
   macro avg       0.50      0.50      0.07   1105895
weighted avg       0.93      0.07      0.07   1105895

Accuracy: 0.07080057329131609
80-90%
              precision    recall  f1-score   support

           0       0.03      0.97      0.05      3093
           1       0.98      0.04      0.07    120943

    accuracy                           0.06    124036
   macro avg       0.50      0.50      0.06    124036
weighted avg       0.96      0.06      0.07    124036

Accuracy: 0.06039375665129479
90-100%
              precision    recall  f1-score   support

           0       0.02      0.97      0.05      2328
           1       0.98      0.04      0.07     97067

    accuracy                           0.06     99395
   macro avg       0.50      0.50      0.06     99395
weighted avg       0.96      0.06      0.07     99395

Accuracy: 0.05859449670506565

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.37      0.53  24893266
           1       0.56      0.96      0.71  20563095

    accuracy                           0.64  45456361
   macro avg       0.74      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6377514909299493
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9205190979487073
1-10%
              precision    recall  f1-score   support

           0       0.89      0.27      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.48552678406024224
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.10   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.718843675393854
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8318025567717744
40-80%
              precision    recall  f1-score   support

           0       0.14      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8997626194807926
80-90%
              precision    recall  f1-score   support

           0       0.09      0.02      0.04     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.51      0.50      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9277720874332882
90-100%
              precision    recall  f1-score   support

           0       0.08      0.02      0.03     13620
           1       0.95      0.98      0.97    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.92    253829

Accuracy: 0.9331124497200871

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798796982450926

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798797202442141
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9683058460129154
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5884040114756642

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.650493497107696
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582244048804043

              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6889102431952545
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699554080738818

              precision    recall  f1-score   support

           0       0.23      0.22      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7611618156063671
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8040147311231746

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24861069
           1       0.60      0.84      0.70  20026114

    accuracy                           0.68  44887183
   macro avg       0.71      0.69      0.68  44887183
weighted avg       0.72      0.68      0.67  44887183

Accuracy: 0.6780779716116291
80-90%
              precision    recall  f1-score   support

           0       0.09      0.21      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8201357860655971
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8242517600431787

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.6992710877142145
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858723626903424
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6459158351149319
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6641225485958251
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.55      0.56      0.55   4805513
weighted avg       0.77      0.71      0.74   4805513

Accuracy: 0.7119543740699484
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.7391696976560512
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.7485452625503807
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.78      0.86    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.7522347722285475

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6008948736981385
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9674109467167398
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47123838109078187
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.512843954140163
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608401418704429
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.764922478311794
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.808783913796421
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8172918792389412

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6950427252204286
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992832253440164
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7582692870678608

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7288800815911919
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7013371578876155

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096654631863628
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6909201657290274

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628486948019499
40-80%


              precision    recall  f1-score   support

           0       0.33      0.41      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.70798864471046
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7265989254155504
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.73041384070584

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205077308430949
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353577198521993
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560384644002306
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.640384398167905
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.639221487701745
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.637287044300706
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373702058699958

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6930358643160157
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.903030765996789
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.40      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643726134897507
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5504544742961526
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.48422305600222343
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.45620007598071866
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4511448892623492

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_rtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  28055468
           1       0.69      0.85      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.7702978609160462
0-1%
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  27764588
           1       0.64      0.81      0.71  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.78      0.75      0.76  44863141

Accuracy: 0.7515798994100747
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658230244468028

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.76582304453306
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7466908302296533

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7466908525196664
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9346399239413065

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28052152
           1       0.78      0.63      0.70  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.75      0.75  49315492
weighted avg       0.77      0.76      0.76  49315492

Accuracy: 0.7636594399179877
10-20%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648497506725239

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654572946673885

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.7657620993312471

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.94      0.79  28055468
           1       0.85      0.43      0.57  21729815

    accuracy                           0.72  49785283
   macro avg       0.77      0.68      0.68  49785283
weighted avg       0.76      0.72      0.69  49785283

Accuracy: 0.7171279713324116
0-1%
              precision    recall  f1-score   support

           0       0.68      0.95      0.80  27764588
           1       0.78      0.28      0.41  17098553

    accuracy                           0.70  44863141
   macro avg       0.73      0.62      0.60  44863141
weighted avg       0.72      0.70      0.65  44863141

Accuracy: 0.6962463684832054
1-10%
              precision    recall  f1-score   support

           0       0.09      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.51   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.8990344651623379
10-20%
              precision    recall  f1-score   support

           0       0.03      0.02      0.03      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.51      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9839543816880775
20-40%
              precision    recall  f1-score   support

           0       0.04      0.05      0.04       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.52      0.52      0.52    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9902459097594245
40-80%
              precision    recall  f1-score   support

           0       0.04      0.07      0.05       169
           1       1.00      1.00      1.00     65234

    accuracy                           0.99     65403
   macro avg       0.52      0.53      0.52     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9930125529409966
80-90%
              precision    recall  f1-score   support

           0       0.03      0.07      0.05        15
           1       1.00      1.00      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.52      0.53      0.52      7386
weighted avg       1.00      0.99      1.00      7386

Accuracy: 0.9943135662063363
90-100%
              precision    recall  f1-score   support

           0       0.15      0.22      0.18        18
           1       1.00      1.00      1.00      5686

    accuracy                           0.99      5704
   macro avg       0.58      0.61      0.59      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9936886395511921

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  28055468
           1       0.94      0.09      0.17  21729815

    accuracy                           0.60  49785283
   macro avg       0.76      0.54      0.45  49785283
weighted avg       0.74      0.60      0.49  49785283

Accuracy: 0.601623033859223
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.77  27764588
           1       0.84      0.02      0.03  17098553

    accuracy                           0.62  44863141
   macro avg       0.73      0.51      0.40  44863141
weighted avg       0.70      0.62      0.49  44863141

Accuracy: 0.6238536887107392
1-10%
              precision    recall  f1-score   support

           0       0.07      0.72      0.13    287564
           1       0.95      0.35      0.51   4164787

    accuracy                           0.37   4452351
   macro avg       0.51      0.54      0.32   4452351
weighted avg       0.89      0.37      0.49   4452351

Accuracy: 0.3740320563226035
10-20%
              precision    recall  f1-score   support

           0       0.01      0.39      0.02      2455
           1       0.99      0.62      0.76    257616

    accuracy                           0.62    260071
   macro avg       0.50      0.51      0.39    260071
weighted avg       0.98      0.62      0.76    260071

Accuracy: 0.6203344471317448
20-40%
              precision    recall  f1-score   support

           0       0.01      0.40      0.01       659
           1       1.00      0.65      0.79    130568

    accuracy                           0.65    131227
   macro avg       0.50      0.53      0.40    131227
weighted avg       0.99      0.65      0.78    131227

Accuracy: 0.6495233450433219
40-80%
              precision    recall  f1-score   support

           0       0.00      0.40      0.01       169
           1       1.00      0.66      0.80     65234

    accuracy                           0.66     65403
   macro avg       0.50      0.53      0.40     65403
weighted avg       1.00      0.66      0.79     65403

Accuracy: 0.6626760240355947
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.66      0.79      7371

    accuracy                           0.66      7386
   macro avg       0.50      0.50      0.40      7386
weighted avg       1.00      0.66      0.79      7386

Accuracy: 0.657053885729759
90-100%
              precision    recall  f1-score   support

           0       0.00      0.44      0.01        18
           1       1.00      0.68      0.81      5686

    accuracy                           0.68      5704
   macro avg       0.50      0.56      0.41      5704
weighted avg       0.99      0.68      0.80      5704

Accuracy: 0.6758415147265077

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.67      0.86      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7420814664483596
0-1%
              precision    recall  f1-score   support

           0       0.97      0.96      0.96  12053010
           1       0.19      0.24      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.60      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9284317208763874
1-10%
              precision    recall  f1-score   support

           0       0.68      0.39      0.50  13368467
           1       0.60      0.83      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.63      0.62      0.60  27835287

Accuracy: 0.618272087512516
10-20%
              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.85      0.81   3890639

Accuracy: 0.8540142120613092
20-40%
              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9214061200814198
40-80%
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9578305354486637
80-90%
              precision    recall  f1-score   support

           0       0.04      0.01      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9718871940404399
90-100%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9740832033804517

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7006605230302986

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7006605439794651
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552593171908519

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552593171908519
1-10%
              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7062878969524208

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.65      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.593932765988725
10-20%
              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7006324175091324

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6419112644478195
20-40%
              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.7001336055150633

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.72      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6897030236841646
40-80%
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.73      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.7005308120733306

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.96      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.72      0.80   1105895

Accuracy: 0.7171982873600116
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7272646650972299
90-100%
              precision    recall  f1-score   support

           0       0.03      0.29      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7294632526787062

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26119367
           1       0.77      0.18      0.30  21615229

    accuracy                           0.61  47734596
   macro avg       0.68      0.57      0.51  47734596
weighted avg       0.67      0.61      0.53  47734596

Accuracy: 0.6058102178135121
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.00      0.01    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9591168394747381
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.14      0.24  14466820

    accuracy                           0.52  27835287
   macro avg       0.59      0.53      0.44  27835287
weighted avg       0.59      0.52      0.43  27835287

Accuracy: 0.5188298938681681
10-20%
              precision    recall  f1-score   support

           0       0.13      0.75      0.23    503365
           1       0.88      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.51      0.32   3890639
weighted avg       0.78      0.33      0.39   3890639

Accuracy: 0.33223976832597424
20-40%
              precision    recall  f1-score   support

           0       0.07      0.73      0.13    147488
           1       0.94      0.30      0.45   1970425

    accuracy                           0.33   2117913
   macro avg       0.50      0.51      0.29   2117913
weighted avg       0.88      0.33      0.43   2117913

Accuracy: 0.3290800896920695
40-80%
              precision    recall  f1-score   support

           0       0.04      0.72      0.07     41616
           1       0.97      0.31      0.47   1064279

    accuracy                           0.33   1105895
   macro avg       0.50      0.52      0.27   1105895
weighted avg       0.93      0.33      0.46   1105895

Accuracy: 0.3300340448234236
80-90%
              precision    recall  f1-score   support

           0       0.03      0.72      0.05      3093
           1       0.98      0.32      0.48    120943

    accuracy                           0.33    124036
   macro avg       0.50      0.52      0.27    124036
weighted avg       0.95      0.33      0.47    124036

Accuracy: 0.3316537134380341
90-100%
              precision    recall  f1-score   support

           0       0.02      0.71      0.05      2328
           1       0.98      0.32      0.48     97067

    accuracy                           0.33     99395
   macro avg       0.50      0.51      0.26     99395
weighted avg       0.96      0.33      0.47     99395

Accuracy: 0.3293827657326827

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.80      0.56      0.66  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.70      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6821266224984441
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.64      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.969937227586238
1-10%
              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5947890470492222
10-20%
              precision    recall  f1-score   support

           0       0.39      0.26      0.31   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6867158332945409
20-40%
              precision    recall  f1-score   support

           0       0.23      0.24      0.23    744974
           1       0.86      0.85      0.85   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7559848449062566
40-80%
              precision    recall  f1-score   support

           0       0.13      0.24      0.17    235909
           1       0.92      0.85      0.88   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.7969161123130482
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.89    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.812280996610105
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8161045428221362

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7088039811304607
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678817443799063
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299711871527602
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.6623973503094193
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6927736684334862
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7044781752786371
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.7071289238341036

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%


              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905719108916437
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174659490263599

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.658861601797396
20-40%
              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405322070198819

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332129281754947
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937499134718728

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45825088837273936
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4263936787989126
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42081657763639635

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5742800501781098
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.9005151844329746
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5725063857620117
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.3544904172640201
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.09   6296625

Accuracy: 0.21284862922597422
80-90%
              precision    recall  f1-score   support

           0       0.15      0.99      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15348845241090767
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.82      0.14      0.05    666440

Accuracy: 0.1413720665026109

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_rtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.90      0.64      0.75  28055468
           1       0.66      0.90      0.76  21729815

    accuracy                           0.75  49785283
   macro avg       0.78      0.77      0.75  49785283
weighted avg       0.79      0.75      0.75  49785283

Accuracy: 0.7542801353564667
0-1%
              precision    recall  f1-score   support

           0       0.90      0.65      0.75  27764588
           1       0.60      0.88      0.72  17098553

    accuracy                           0.73  44863141
   macro avg       0.75      0.76      0.73  44863141
weighted avg       0.78      0.73      0.74  44863141

Accuracy: 0.7338047953441333
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774990050774644

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.777499065336236
0-1%


              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595720504723465
1-10%
              precision    recall  f1-score   support

           0       0.15      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.54      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9354042392434918

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.775446648692058
10-20%


              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.7771517130758192

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774411507244617

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.63      0.70  21729815

    accuracy                           0.76  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.76      0.76  49785283

Accuracy: 0.764475136156201
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.53      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.70      0.71  44863141
weighted avg       0.74      0.75      0.73  44863141

Accuracy: 0.7452551527767527
1-10%
              precision    recall  f1-score   support

           0       0.11      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9340352995529777
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905448896647454
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  28055468
           1       0.86      0.38      0.53  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.67      0.66  49785283
weighted avg       0.75      0.70      0.67  49785283

Accuracy: 0.7033423511924196
0-1%
              precision    recall  f1-score   support

           0       0.67      0.96      0.79  27764588
           1       0.79      0.23      0.36  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.60      0.58  44863141
weighted avg       0.72      0.68      0.63  44863141

Accuracy: 0.684348070947596
1-10%
              precision    recall  f1-score   support

           0       0.09      0.11      0.10    287564
           1       0.94      0.92      0.93   4164787

    accuracy                           0.87   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.87      0.87   4452351

Accuracy: 0.8665846425854565
10-20%
              precision    recall  f1-score   support

           0       0.02      0.05      0.03      2455
           1       0.99      0.97      0.98    257616

    accuracy                           0.97    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.97      0.97    260071

Accuracy: 0.966070803742055
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.973915428989461
40-80%
              precision    recall  f1-score   support

           0       0.01      0.09      0.02       169
           1       1.00      0.98      0.99     65234

    accuracy                           0.98     65403
   macro avg       0.50      0.54      0.50     65403
weighted avg       1.00      0.98      0.99     65403

Accuracy: 0.9768970842316101
80-90%
              precision    recall  f1-score   support

           0       0.01      0.07      0.01        15
           1       1.00      0.98      0.99      7371

    accuracy                           0.98      7386
   macro avg       0.50      0.52      0.50      7386
weighted avg       1.00      0.98      0.99      7386

Accuracy: 0.9798266991605741
90-100%
              precision    recall  f1-score   support

           0       0.03      0.22      0.06        18
           1       1.00      0.98      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.52      0.60      0.52      5704
weighted avg       0.99      0.98      0.99      5704

Accuracy: 0.9773842917251052

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.98      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.77      0.50      0.36  49785283
weighted avg       0.75      0.56      0.41  49785283

Accuracy: 0.563574460348051
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.72      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.67      0.50      0.38  44863141
weighted avg       0.66      0.62      0.47  44863141

Accuracy: 0.6188733419267278
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.98      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.52      0.50      0.06   4452351
weighted avg       0.92      0.06      0.01   4452351

Accuracy: 0.0648529282619452
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.50      0.50      0.01    260071
weighted avg       0.98      0.01      0.00    260071

Accuracy: 0.011458409434346775
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.99      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.00    131227

Accuracy: 0.007269845382428921
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.01     65234

    accuracy                           0.01     65403
   macro avg       0.50      0.50      0.01     65403
weighted avg       1.00      0.01      0.01     65403

Accuracy: 0.005443175389508127
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.01      7371

    accuracy                           0.01      7386
   macro avg       0.50      0.50      0.01      7386
weighted avg       1.00      0.01      0.01      7386

Accuracy: 0.005415651232060655
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.01      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.01      5704

Accuracy: 0.005960729312762973

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.89      0.57      0.69  26119367
           1       0.64      0.92      0.75  21615229

    accuracy                           0.73  47734596
   macro avg       0.76      0.74      0.72  47734596
weighted avg       0.78      0.73      0.72  47734596

Accuracy: 0.7263907921206665
0-1%
              precision    recall  f1-score   support

           0       0.97      0.93      0.95  12053010
           1       0.17      0.36      0.23    508421

    accuracy                           0.90  12561431
   macro avg       0.57      0.64      0.59  12561431
weighted avg       0.94      0.90      0.92  12561431

Accuracy: 0.9026405510646041
1-10%
              precision    recall  f1-score   support

           0       0.72      0.28      0.40  13368467
           1       0.57      0.90      0.70  14466820

    accuracy                           0.60  27835287
   macro avg       0.65      0.59      0.55  27835287
weighted avg       0.64      0.60      0.56  27835287

Accuracy: 0.6007281333222826
10-20%
              precision    recall  f1-score   support

           0       0.18      0.01      0.02    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.52      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8655778652298504
20-40%
              precision    recall  f1-score   support

           0       0.10      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.52      0.50      0.49   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9280154567255595
40-80%
              precision    recall  f1-score   support

           0       0.06      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9613064531442859
80-90%
              precision    recall  f1-score   support

           0       0.05      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9743784062691476
90-100%
              precision    recall  f1-score   support

           0       0.03      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.50      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9759545248754967

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468403838591197

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7468403838591197
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464279985297853

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464279985297853
1-10%
              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7245799275079723

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6244649462389232
10-20%
              precision    recall  f1-score   support

           0       0.79      0.74      0.76  25924842
           1       0.66      0.73      0.69  18362515

    accuracy                           0.73  44287357
   macro avg       0.73      0.73      0.73  44287357
weighted avg       0.74      0.73      0.73  44287357

Accuracy: 0.7332561751201364

              precision    recall  f1-score   support

           0       0.15      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8233421296604491
20-40%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7409923700476261

              precision    recall  f1-score   support

           0       0.08      0.04      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9027627669314084
40-80%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.7458066119826782

              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.50      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9478205435416563
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9653971427650037
90-100%
              precision    recall  f1-score   support

           0       0.02      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9682478997937523

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.52      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.68      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.6995994896447851
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9553086746247302
1-10%
              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.66      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.593221043490588
10-20%
              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.76   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.69   3890639

Accuracy: 0.6381291093828032
20-40%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.71      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6850007530998676
40-80%
              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.96      0.73      0.83   1064279

    accuracy                           0.71   1105895
   macro avg       0.50      0.53      0.45   1105895
weighted avg       0.93      0.71      0.80   1105895

Accuracy: 0.7121290900130663
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      3093
           1       0.98      0.73      0.84    120943

    accuracy                           0.72    124036
   macro avg       0.50      0.52      0.45    124036
weighted avg       0.95      0.72      0.82    124036

Accuracy: 0.7219516914444194
90-100%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.73      0.84     97067

    accuracy                           0.72     99395
   macro avg       0.50      0.52      0.44     99395
weighted avg       0.96      0.72      0.82     99395

Accuracy: 0.7242517229236883

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      0.97      0.72  26119367
           1       0.78      0.13      0.22  21615229

    accuracy                           0.59  47734596
   macro avg       0.68      0.55      0.47  47734596
weighted avg       0.67      0.59      0.50  47734596

Accuracy: 0.5894396173374967
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.24      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.959325573654785
1-10%
              precision    recall  f1-score   support

           0       0.49      0.95      0.65  13368467
           1       0.68      0.10      0.17  14466820

    accuracy                           0.51  27835287
   macro avg       0.59      0.52      0.41  27835287
weighted avg       0.59      0.51      0.40  27835287

Accuracy: 0.5070879994878443
10-20%
              precision    recall  f1-score   support

           0       0.13      0.82      0.23    503365
           1       0.88      0.20      0.32   3387274

    accuracy                           0.28   3890639
   macro avg       0.51      0.51      0.27   3890639
weighted avg       0.78      0.28      0.31   3890639

Accuracy: 0.27744619842653095
20-40%
              precision    recall  f1-score   support

           0       0.07      0.80      0.13    147488
           1       0.94      0.22      0.36   1970425

    accuracy                           0.26   2117913
   macro avg       0.50      0.51      0.24   2117913
weighted avg       0.88      0.26      0.34   2117913

Accuracy: 0.26135492817693645
40-80%
              precision    recall  f1-score   support

           0       0.04      0.80      0.07     41616
           1       0.97      0.23      0.38   1064279

    accuracy                           0.25   1105895
   macro avg       0.50      0.51      0.23   1105895
weighted avg       0.93      0.25      0.37   1105895

Accuracy: 0.2548144263243798
80-90%
              precision    recall  f1-score   support

           0       0.03      0.79      0.05      3093
           1       0.98      0.24      0.39    120943

    accuracy                           0.25    124036
   macro avg       0.50      0.52      0.22    124036
weighted avg       0.95      0.25      0.38    124036

Accuracy: 0.25412783385468735
90-100%
              precision    recall  f1-score   support

           0       0.02      0.79      0.05      2328
           1       0.98      0.24      0.38     97067

    accuracy                           0.25     99395
   macro avg       0.50      0.51      0.21     99395
weighted avg       0.96      0.25      0.37     99395

Accuracy: 0.2508275064138035

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.47      0.60  24893266
           1       0.58      0.89      0.70  20563095

    accuracy                           0.66  45456361
   macro avg       0.71      0.68      0.65  45456361
weighted avg       0.72      0.66      0.65  45456361

Accuracy: 0.6620013423423842
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9495253780604294
1-10%
              precision    recall  f1-score   support

           0       0.87      0.39      0.54  16949103
           1       0.40      0.87      0.55   8016772

    accuracy                           0.55  24965875
   macro avg       0.63      0.63      0.54  24965875
weighted avg       0.72      0.55      0.54  24965875

Accuracy: 0.5450160268766867
10-20%
              precision    recall  f1-score   support

           0       0.40      0.17      0.24   2057494
           1       0.74      0.90      0.81   5461156

    accuracy                           0.70   7518650
   macro avg       0.57      0.54      0.53   7518650
weighted avg       0.65      0.70      0.66   7518650

Accuracy: 0.7018285197475611
20-40%
              precision    recall  f1-score   support

           0       0.23      0.15      0.18    744974
           1       0.85      0.91      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.54      0.53      0.53   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7899518740246879
40-80%
              precision    recall  f1-score   support

           0       0.13      0.14      0.14    235909
           1       0.92      0.91      0.91   2483775

    accuracy                           0.84   2719684
   macro avg       0.52      0.53      0.52   2719684
weighted avg       0.85      0.84      0.85   2719684

Accuracy: 0.8417654403967519
80-90%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     18577
           1       0.94      0.91      0.93    296772

    accuracy                           0.86    315349
   macro avg       0.52      0.52      0.52    315349
weighted avg       0.89      0.86      0.88    315349

Accuracy: 0.8621210151292695
90-100%
              precision    recall  f1-score   support

           0       0.08      0.14      0.10     13620
           1       0.95      0.91      0.93    240209

    accuracy                           0.87    253829
   macro avg       0.51      0.52      0.51    253829
weighted avg       0.90      0.87      0.88    253829

Accuracy: 0.8665873481753464

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7003292014510356

              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.73      0.69  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.7003292014510356
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.52      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.75      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9884956537838027
1-10%
              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.48      0.71      0.57   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6565969748706985
10-20%
              precision    recall  f1-score   support

           0       0.82      0.68      0.74  23880186
           1       0.56      0.73      0.64  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.70  37361986

Accuracy: 0.6992152130242756

              precision    recall  f1-score   support

           0       0.37      0.39      0.38   2057494
           1       0.77      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.66   7518650

Accuracy: 0.6530696335113352
20-40%
              precision    recall  f1-score   support

           0       0.78      0.68      0.72  24625160
           1       0.62      0.73      0.67  17542339

    accuracy                           0.70  42167499
   macro avg       0.70      0.70      0.70  42167499
weighted avg       0.71      0.70      0.70  42167499

Accuracy: 0.6987434089937371

              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.75      0.81   4060539

    accuracy                           0.70   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.70      0.72   4805513

Accuracy: 0.6950752188163886
40-80%
              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.7190225040850334

              precision    recall  f1-score   support

           0       0.76      0.67      0.71  24861069
           1       0.64      0.73      0.69  20026114

    accuracy                           0.70  44887183
   macro avg       0.70      0.70      0.70  44887183
weighted avg       0.71      0.70      0.70  44887183

Accuracy: 0.699972105623113
80-90%
              precision    recall  f1-score   support

           0       0.08      0.36      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.7271784594211492
90-100%
              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7301214597228843

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.82      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6672643267274542
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968703205614972
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.82      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.6521049665270939
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.64      0.57      0.56   8856813

Accuracy: 0.5747711959143769
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.662632347855117
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.730902507295575
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7595432276017229
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.77    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.77      0.78    666440

Accuracy: 0.7651221415281195

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166914218021222

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166914218021222
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%
              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781463659200592

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.863288023075127
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951051363120355

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.661392760578777
20-40%
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466079305605635

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159187757094134
40-80%
              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217269377075919

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5964776368292538
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5876985242965617
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586540423744073

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6771972899929208
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.39   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.906237471654865
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6535834052271399
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.49   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5219611384465427
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.4433934051972287
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.4099431131372636
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.40413240501770603

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.23      0.37  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.54  49785283
   macro avg       0.66      0.59      0.50  49785283
weighted avg       0.68      0.54      0.49  49785283

Accuracy: 0.5427700792621788
0-1%
              precision    recall  f1-score   support

           0       0.87      0.24      0.37  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.50  44863141
   macro avg       0.65      0.59      0.48  44863141
weighted avg       0.70      0.50      0.45  44863141

Accuracy: 0.5044548262904731
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.07    287564
           1       0.94      0.94      0.94   4164787

    accuracy                           0.89   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.89      0.88   4452351

Accuracy: 0.8872907818813027
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.93    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.93      0.96    260071

Accuracy: 0.9342102733484318
20-40%
              precision    recall  f1-score   support

           0       0.01      0.10      0.02       659
           1       1.00      0.94      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.96    131227

Accuracy: 0.9394179551464257
40-80%
              precision    recall  f1-score   support

           0       0.01      0.16      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.94      0.97     65403

Accuracy: 0.9396205067045854
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.94      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9406986190089358
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.94      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9403927068723703

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634

              precision    recall  f1-score   support

           0       0.74      0.52      0.61  28055468
           1       0.55      0.77      0.64  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.63  49785283

Accuracy: 0.6286199076140634
0-1%
              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835

              precision    recall  f1-score   support

           0       0.79      0.52      0.63  27764588
           1       0.50      0.77      0.60  17098553

    accuracy                           0.62  44863141
   macro avg       0.64      0.64      0.62  44863141
weighted avg       0.68      0.62      0.62  44863141

Accuracy: 0.615548764184835
1-10%
              precision    recall  f1-score   support

           0       0.07      0.24      0.11    287564
           1       0.94      0.78      0.85   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.80   4452351

Accuracy: 0.7451294832774864

              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28052152
           1       0.55      0.77      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.63  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6272477013916844
10-20%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28054607
           1       0.55      0.77      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.63  49575563

Accuracy: 0.627999322972893

              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.77    260071
   macro avg       0.50      0.51      0.44    260071
weighted avg       0.98      0.77      0.86    260071

Accuracy: 0.7705242030061021
20-40%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055266
           1       0.55      0.77      0.64  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.63  49706790

Accuracy: 0.6283882342834852

              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.78      0.87    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.44    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7753130072317435
40-80%
              precision    recall  f1-score   support

           0       0.75      0.52      0.61  28055435
           1       0.55      0.77      0.64  21716758

    accuracy                           0.63  49772193
   macro avg       0.65      0.64      0.63  49772193
weighted avg       0.66      0.63      0.63  49772193

Accuracy: 0.6285807418612236

              precision    recall  f1-score   support

           0       0.00      0.28      0.01       169
           1       1.00      0.78      0.87     65234

    accuracy                           0.77     65403
   macro avg       0.50      0.53      0.44     65403
weighted avg       1.00      0.77      0.87     65403

Accuracy: 0.7748880020794153
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.77      0.87      7371

    accuracy                           0.77      7386
   macro avg       0.50      0.55      0.44      7386
weighted avg       1.00      0.77      0.87      7386

Accuracy: 0.7705117790414298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7866409537166901

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.76      0.71  28055468
           1       0.61      0.49      0.54  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.63      0.63  49785283
weighted avg       0.64      0.64      0.64  49785283

Accuracy: 0.6429305021727003
0-1%
              precision    recall  f1-score   support

           0       0.71      0.77      0.73  27764588
           1       0.56      0.48      0.52  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.63  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6570415566756683
1-10%
              precision    recall  f1-score   support

           0       0.07      0.50      0.12    287564
           1       0.94      0.52      0.66   4164787

    accuracy                           0.51   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.51      0.63   4452351

Accuracy: 0.5141369132846894
10-20%
              precision    recall  f1-score   support

           0       0.01      0.49      0.02      2455
           1       0.99      0.52      0.68    257616

    accuracy                           0.52    260071
   macro avg       0.50      0.50      0.35    260071
weighted avg       0.98      0.52      0.67    260071

Accuracy: 0.5153631123808499
20-40%
              precision    recall  f1-score   support

           0       0.01      0.54      0.01       659
           1       1.00      0.52      0.68    130568

    accuracy                           0.52    131227
   macro avg       0.50      0.53      0.35    131227
weighted avg       0.99      0.52      0.68    131227

Accuracy: 0.5159685125774421
40-80%
              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.52      0.68     65234

    accuracy                           0.52     65403
   macro avg       0.50      0.51      0.34     65403
weighted avg       0.99      0.52      0.68     65403

Accuracy: 0.5182178187544914
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.51      0.68      7371

    accuracy                           0.51      7386
   macro avg       0.50      0.42      0.34      7386
weighted avg       1.00      0.51      0.68      7386

Accuracy: 0.5139453019225562
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.52      0.69      5686

    accuracy                           0.52      5704
   macro avg       0.50      0.54      0.35      5704
weighted avg       0.99      0.52      0.68      5704

Accuracy: 0.5227910238429172

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.57  47734596
   macro avg       0.67      0.60      0.54  47734596
weighted avg       0.69      0.57      0.53  47734596

Accuracy: 0.5741434158152297
0-1%
              precision    recall  f1-score   support

           0       0.99      0.45      0.62  12053010
           1       0.06      0.91      0.12    508421

    accuracy                           0.47  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.47      0.60  12561431

Accuracy: 0.4651880824724508
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.53      0.46  27835287
weighted avg       0.59      0.55      0.47  27835287

Accuracy: 0.550356100154455
10-20%
              precision    recall  f1-score   support

           0       0.18      0.10      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8233698885967061
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.8715792386183946
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8967117131373231
80-90%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      3093
           1       0.98      0.93      0.95    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9065110129317295
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9083253684792998

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6590226300438365
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.7775252676227732
1-10%
              precision    recall  f1-score   support

           0       0.80      0.59      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6483005129278077

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899843245733374
10-20%


              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7052293980500376
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.656706856785878

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7279113920165748
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.60      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6586280929966672

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7392464926597914
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7423328711019381
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7436490769153378

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.76      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6658257042753646
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.19      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8971429290181987
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.56      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.5894819766004209
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5590942773153715
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.57      0.71   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.67   2117913

Accuracy: 0.5598851322032586
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5599509899221897
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5590151246412332
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5585291010614216

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5930795978665033
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9569498889099498
1-10%
              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.16      0.26  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.45  27835287

Accuracy: 0.5221420206660704
10-20%
              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.29   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.2614686173659391
20-40%
              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.18      0.30   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.29   2117913

Accuracy: 0.22299310689343707
40-80%
              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.18      0.30   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.19   1105895
weighted avg       0.93      0.20      0.29   1105895

Accuracy: 0.20169093810895247
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.18      0.30    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.18    124036
weighted avg       0.95      0.19      0.30    124036

Accuracy: 0.1948305330710439
90-100%
              precision    recall  f1-score   support

           0       0.02      0.84      0.05      2328
           1       0.98      0.18      0.30     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.29     99395

Accuracy: 0.19122692288344484

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.588633216812054
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.84   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7169957894076446
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.4506641165190485
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7092088340327053
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8017901522688629
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8546268610617999
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8751193122540424
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8793006315275245

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755559249452459
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9479493531573087
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.66  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6124436255488742

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.667277177055541
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666577360207779

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6641990250909405
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6712240865885833

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7067266283537262
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.7295781421665164

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747597192722029
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.7371325103298251
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7398563599903872

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853808425183882
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888275887803101
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.59      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6864149964701818
10-20%
              precision    recall  f1-score   support

           0       0.34      0.53      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5878621827056719
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5900872601946973
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.5899218438612721
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.70    315349

Accuracy: 0.5883291210690378
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5888531255293918

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6245204274050886
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988557571244547
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7089028123388426
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.4150061513702593
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.34924325457032374
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.3129749632677914
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.2969218231229527
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.2945329335891486

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6019079822403501
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9668083656828166
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.26   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4740468545160574
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.48   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5139180425283902
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609094987849717
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643448672900165
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8079525663227799
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164305863993758

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.6961702480413395
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993316124720081
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7610588187859696

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7320038680921419
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036668156415689

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.611254635273433
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6926148162396577

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628321423954573
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6949805737445209

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7068896432612709
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250583423375419
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288503091050957

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204534119295583
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8359920435371204
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.656142903773626
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6398741877227071
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6383792904929227
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6363286511448912
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.636357361502911

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6938594140377604
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9026036615337558
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646632372163667
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5520550453774898
40-80%
              precision    recall  f1-score   support

           0       0.25      0.77      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4869195799336946
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4592812421367357
90-100%
              precision    recall  f1-score   support

           0       0.17      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4543754876658064

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_vtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.72      0.58      0.64  28055468
           1       0.57      0.71      0.63  21729815

    accuracy                           0.64  49785283
   macro avg       0.65      0.65      0.64  49785283
weighted avg       0.66      0.64      0.64  49785283

Accuracy: 0.6387430799579867
0-1%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  27764588
           1       0.51      0.71      0.59  17098553

    accuracy                           0.63  44863141
   macro avg       0.64      0.65      0.63  44863141
weighted avg       0.67      0.63      0.64  44863141

Accuracy: 0.6320895141960747
1-10%
              precision    recall  f1-score   support

           0       0.07      0.29      0.11    287564
           1       0.94      0.73      0.82   4164787

    accuracy                           0.70   4452351
   macro avg       0.50      0.51      0.46   4452351
weighted avg       0.88      0.70      0.77   4452351

Accuracy: 0.6972089576944854
10-20%
              precision    recall  f1-score   support

           0       0.01      0.29      0.02      2455
           1       0.99      0.72      0.84    257616

    accuracy                           0.72    260071
   macro avg       0.50      0.51      0.43    260071
weighted avg       0.98      0.72      0.83    260071

Accuracy: 0.7179193374117068
20-40%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01       659
           1       1.00      0.72      0.84    130568

    accuracy                           0.72    131227
   macro avg       0.50      0.53      0.43    131227
weighted avg       0.99      0.72      0.83    131227

Accuracy: 0.7226637810816372
40-80%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01       169
           1       1.00      0.72      0.84     65234

    accuracy                           0.72     65403
   macro avg       0.50      0.52      0.42     65403
weighted avg       1.00      0.72      0.84     65403

Accuracy: 0.7227038515052826
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.72      0.83      7371

    accuracy                           0.71      7386
   macro avg       0.50      0.52      0.42      7386
weighted avg       1.00      0.71      0.83      7386

Accuracy: 0.7144597887896019
90-100%
              precision    recall  f1-score   support

           0       0.00      0.39      0.01        18
           1       1.00      0.73      0.85      5686

    accuracy                           0.73      5704
   macro avg       0.50      0.56      0.43      5704
weighted avg       0.99      0.73      0.84      5704

Accuracy: 0.732468443197756

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.74      0.59      0.66  26119367
           1       0.60      0.74      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6612892251146317
0-1%
              precision    recall  f1-score   support

           0       0.98      0.79      0.88  12053010
           1       0.12      0.68      0.21    508421

    accuracy                           0.79  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.79      0.85  12561431

Accuracy: 0.7895345681554912
1-10%
              precision    recall  f1-score   support

           0       0.61      0.42      0.50  13368467
           1       0.58      0.74      0.65  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5910723320366699
10-20%
              precision    recall  f1-score   support

           0       0.16      0.32      0.21    503365
           1       0.88      0.75      0.81   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.51   3890639
weighted avg       0.79      0.70      0.73   3890639

Accuracy: 0.6961992618693228
20-40%
              precision    recall  f1-score   support

           0       0.09      0.32      0.14    147488
           1       0.94      0.75      0.83   1970425

    accuracy                           0.72   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.72      0.78   2117913

Accuracy: 0.7172858375202381
40-80%
              precision    recall  f1-score   support

           0       0.05      0.33      0.08     41616
           1       0.97      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7277508262538487
80-90%
              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7307475249121222
90-100%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.73      0.83     99395

Accuracy: 0.7320086523466975

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.592654644023802

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.27  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.56      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.592654644023802
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9570162030106283

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.14      0.21    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9570162030106283
1-10%
              precision    recall  f1-score   support

           0       0.66      0.95      0.78  25421477
           1       0.66      0.16      0.25  14975241

    accuracy                           0.66  40396718
   macro avg       0.66      0.55      0.52  40396718
weighted avg       0.66      0.66      0.58  40396718

Accuracy: 0.6571021437929685

              precision    recall  f1-score   support

           0       0.50      0.91      0.65  13368467
           1       0.67      0.16      0.26  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5217577602127832
10-20%
              precision    recall  f1-score   support

           0       0.61      0.95      0.75  25924842
           1       0.69      0.16      0.26  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.55      0.50  44287357
weighted avg       0.65      0.62      0.54  44287357

Accuracy: 0.6222306515152846

              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.29   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.2601580357365461
20-40%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.16      0.26  20332940

    accuracy                           0.60  46405270
   macro avg       0.65      0.56      0.50  46405270
weighted avg       0.64      0.60      0.53  46405270

Accuracy: 0.6039405222725781

              precision    recall  f1-score   support

           0       0.07      0.84      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.22147840822545592
40-80%
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.16      0.27  21397219

    accuracy                           0.59  47511165
   macro avg       0.65      0.56      0.49  47511165
weighted avg       0.64      0.59      0.52  47511165

Accuracy: 0.594540188606194

              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.30   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.29   1105895

Accuracy: 0.2000859032729147
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.18      0.30    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.19328259537553613
90-100%
              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.30     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.29     99395

Accuracy: 0.18973791438201118

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.75      0.61      0.68  24893266
           1       0.62      0.76      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.69      0.68      0.68  45456361

Accuracy: 0.6774962694440059
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.01      0.70      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.98   4877461

Accuracy: 0.9534866603751418
1-10%
              precision    recall  f1-score   support

           0       0.82      0.56      0.67  16949103
           1       0.44      0.75      0.56   8016772

    accuracy                           0.62  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.62      0.63  24965875

Accuracy: 0.6194695759712007
10-20%
              precision    recall  f1-score   support

           0       0.38      0.38      0.38   2057494
           1       0.77      0.76      0.76   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6587608147739288
20-40%
              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.76      0.81   4060539

    accuracy                           0.70   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.70      0.73   4805513

Accuracy: 0.6983512478272351
40-80%
              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.7196622842947931
80-90%
              precision    recall  f1-score   support

           0       0.08      0.37      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.7263761736996154
90-100%
              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7291404843418207

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.60      0.92      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6253410826264777

              precision    recall  f1-score   support

           0       0.60      0.92      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.63  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.63      0.58  45456361

Accuracy: 0.6253410826264777
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988399702222119

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988399702222119
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.36   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7091430602772785

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.36   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.756489824059884
10-20%
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6881000651303707

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.41664461040213335
20-40%
              precision    recall  f1-score   support

           0       0.64      0.93      0.76  24625160
           1       0.72      0.26      0.38  17542339

    accuracy                           0.65  42167499
   macro avg       0.68      0.59      0.57  42167499
weighted avg       0.67      0.65      0.60  42167499

Accuracy: 0.6497353091773358

              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.3514563377520777
40-80%
              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.32   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.32      0.40   2719684

Accuracy: 0.3155039335452207

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6294844566209468
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.299712382154375
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.297176445559806

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7088039811304607
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678817443799063
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299711871527602
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.6623973503094193
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6927736684334862
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7044781752786371
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.7071289238341036

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.50  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6836500424949224
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159661809072535

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905719108916437
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174659490263599

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.658861601797396
20-40%
              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7405322070198819

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5332129281754947
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6937499134718728

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45825088837273936
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4263936787989126
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.42081657763639635

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5742465062221758
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.9005092054425177
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5724775943671838
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.35443994408084195
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.09   6296625

Accuracy: 0.21278002104301907
80-90%
              precision    recall  f1-score   support

           0       0.15      0.99      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15339964377870863
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.82      0.14      0.05    666440

Accuracy: 0.14128803793289718

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_decay_vtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.40      0.53  28055468
           1       0.52      0.86      0.65  21729815

    accuracy                           0.60  49785283
   macro avg       0.65      0.63      0.59  49785283
weighted avg       0.67      0.60      0.58  49785283

Accuracy: 0.5979842275878998
0-1%
              precision    recall  f1-score   support

           0       0.82      0.40      0.54  27764588
           1       0.47      0.86      0.60  17098553

    accuracy                           0.57  44863141
   macro avg       0.64      0.63      0.57  44863141
weighted avg       0.69      0.57      0.56  44863141

Accuracy: 0.5734684292390495
1-10%
              precision    recall  f1-score   support

           0       0.07      0.16      0.10    287564
           1       0.94      0.86      0.90   4164787

    accuracy                           0.82   4452351
   macro avg       0.51      0.51      0.50   4452351
weighted avg       0.88      0.82      0.85   4452351

Accuracy: 0.8178569030159571
10-20%
              precision    recall  f1-score   support

           0       0.01      0.16      0.02      2455
           1       0.99      0.86      0.92    257616

    accuracy                           0.85    260071
   macro avg       0.50      0.51      0.47    260071
weighted avg       0.98      0.85      0.91    260071

Accuracy: 0.8531016530101395
20-40%
              precision    recall  f1-score   support

           0       0.01      0.20      0.01       659
           1       1.00      0.86      0.92    130568

    accuracy                           0.86    131227
   macro avg       0.50      0.53      0.47    131227
weighted avg       0.99      0.86      0.92    131227

Accuracy: 0.8580779869996266
40-80%
              precision    recall  f1-score   support

           0       0.00      0.20      0.01       169
           1       1.00      0.86      0.92     65234

    accuracy                           0.86     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.86      0.92     65403

Accuracy: 0.8575753405807073
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.86      0.92      7371

    accuracy                           0.86      7386
   macro avg       0.50      0.50      0.46      7386
weighted avg       1.00      0.86      0.92      7386

Accuracy: 0.8590576766856215
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.01        18
           1       1.00      0.87      0.93      5686

    accuracy                           0.86      5704
   macro avg       0.50      0.57      0.47      5704
weighted avg       0.99      0.86      0.92      5704

Accuracy: 0.8643057503506312

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.64      0.36      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6298674650498622

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055468
           1       0.64      0.36      0.46  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.60      0.59  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6298674650498622
0-1%
              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.35      0.43  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.59  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6552110562209632

              precision    recall  f1-score   support

           0       0.68      0.84      0.75  27764588
           1       0.58      0.35      0.43  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.60      0.59  44863141
weighted avg       0.64      0.66      0.63  44863141

Accuracy: 0.6552110562209632
1-10%
              precision    recall  f1-score   support

           0       0.07      0.63      0.12    287564
           1       0.94      0.38      0.55   4164787

    accuracy                           0.40   4452351
   macro avg       0.50      0.51      0.33   4452351
weighted avg       0.88      0.40      0.52   4452351

Accuracy: 0.39994488305167314

              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28052152
           1       0.63      0.35      0.45  21263340

    accuracy                           0.63  49315492
   macro avg       0.63      0.60      0.59  49315492
weighted avg       0.63      0.63      0.61  49315492

Accuracy: 0.6321648580531246
10-20%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28054607
           1       0.63      0.36      0.46  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.60      0.59  49575563
weighted avg       0.63      0.63      0.61  49575563

Accuracy: 0.6308893758806128

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      2455
           1       0.99      0.39      0.56    257616

    accuracy                           0.39    260071
   macro avg       0.50      0.50      0.29    260071
weighted avg       0.98      0.39      0.55    260071

Accuracy: 0.3890283807114211
20-40%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055266
           1       0.63      0.36      0.46  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.60      0.59  49706790
weighted avg       0.63      0.63      0.60  49706790

Accuracy: 0.6302454252225903

              precision    recall  f1-score   support

           0       0.01      0.65      0.01       659
           1       1.00      0.39      0.56    130568

    accuracy                           0.39    131227
   macro avg       0.50      0.52      0.28    131227
weighted avg       0.99      0.39      0.55    131227

Accuracy: 0.3869706691458313
40-80%
              precision    recall  f1-score   support

           0       0.63      0.84      0.72  28055435
           1       0.64      0.36      0.46  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.60      0.59  49772193
weighted avg       0.63      0.63      0.60  49772193

Accuracy: 0.6299317572765982

              precision    recall  f1-score   support

           0       0.00      0.63      0.01       169
           1       1.00      0.39      0.56     65234

    accuracy                           0.39     65403
   macro avg       0.50      0.51      0.28     65403
weighted avg       0.99      0.39      0.56     65403

Accuracy: 0.3915416724003486
80-90%
              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.38      0.55      7371

    accuracy                           0.38      7386
   macro avg       0.50      0.39      0.27      7386
weighted avg       0.99      0.38      0.54      7386

Accuracy: 0.37571080422420794
90-100%
              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.40      0.57      5686

    accuracy                           0.40      5704
   macro avg       0.50      0.53      0.29      5704
weighted avg       0.99      0.40      0.57      5704

Accuracy: 0.3979663394109397

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.44      0.56  26119367
           1       0.56      0.86      0.68  21615229

    accuracy                           0.63  47734596
   macro avg       0.67      0.65      0.62  47734596
weighted avg       0.68      0.63      0.61  47734596

Accuracy: 0.6266476414716069
0-1%
              precision    recall  f1-score   support

           0       0.99      0.64      0.77  12053010
           1       0.09      0.82      0.16    508421

    accuracy                           0.64  12561431
   macro avg       0.54      0.73      0.47  12561431
weighted avg       0.95      0.64      0.75  12561431

Accuracy: 0.64341546755302
1-10%
              precision    recall  f1-score   support

           0       0.64      0.27      0.38  13368467
           1       0.56      0.86      0.68  14466820

    accuracy                           0.57  27835287
   macro avg       0.60      0.56      0.53  27835287
weighted avg       0.60      0.57      0.53  27835287

Accuracy: 0.5744337753729646
10-20%
              precision    recall  f1-score   support

           0       0.18      0.20      0.19    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.78   3890639

Accuracy: 0.7754237800011772
20-40%
              precision    recall  f1-score   support

           0       0.10      0.21      0.13    147488
           1       0.94      0.86      0.89   1970425

    accuracy                           0.81   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.81      0.84   2117913

Accuracy: 0.8116768724683214
40-80%
              precision    recall  f1-score   support

           0       0.05      0.21      0.09     41616
           1       0.97      0.85      0.91   1064279

    accuracy                           0.83   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.83      0.88   1105895

Accuracy: 0.8301402936083444
80-90%
              precision    recall  f1-score   support

           0       0.04      0.22      0.06      3093
           1       0.98      0.85      0.91    120943

    accuracy                           0.84    124036
   macro avg       0.51      0.54      0.49    124036
weighted avg       0.95      0.84      0.89    124036

Accuracy: 0.8359427908026702
90-100%
              precision    recall  f1-score   support

           0       0.03      0.21      0.06      2328
           1       0.98      0.85      0.91     97067

    accuracy                           0.84     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.84      0.89     99395

Accuracy: 0.8384123949896876

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.66  47734596

Accuracy: 0.6619465890106203

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.52      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.66  47734596

Accuracy: 0.6619465890106203
0-1%
              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9101863473994324

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9101863473994324
1-10%
              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866440486576162

              precision    recall  f1-score   support

           0       0.56      0.66      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5857645010090968
10-20%


              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5278724137603104
20-40%
              precision    recall  f1-score   support

           0       0.67      0.78      0.72  26072330
           1       0.65      0.52      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6659417992827108

              precision    recall  f1-score   support

           0       0.08      0.52      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.64   2117913

Accuracy: 0.5247061612068107
40-80%
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.52      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.6626108831471508

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.66   1105895

Accuracy: 0.5228398717780621
80-90%
              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5210987132767906
90-100%
              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5201770712812516

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      0.95      0.72  26119367
           1       0.73      0.15      0.25  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.48  47734596
weighted avg       0.64      0.59      0.50  47734596

Accuracy: 0.5886962361638087
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.42      0.12      0.19    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.58  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9575670956597222
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.14      0.24  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.53      0.44  27835287
weighted avg       0.59      0.52      0.43  27835287

Accuracy: 0.5181902022422115
10-20%
              precision    recall  f1-score   support

           0       0.13      0.86      0.23    503365
           1       0.88      0.16      0.27   3387274

    accuracy                           0.25   3890639
   macro avg       0.51      0.51      0.25   3890639
weighted avg       0.79      0.25      0.26   3890639

Accuracy: 0.24804305925067835
20-40%
              precision    recall  f1-score   support

           0       0.07      0.86      0.13    147488
           1       0.94      0.16      0.27   1970425

    accuracy                           0.21   2117913
   macro avg       0.50      0.51      0.20   2117913
weighted avg       0.88      0.21      0.26   2117913

Accuracy: 0.20746933419833583
40-80%
              precision    recall  f1-score   support

           0       0.04      0.86      0.07     41616
           1       0.97      0.16      0.27   1064279

    accuracy                           0.19   1105895
   macro avg       0.50      0.51      0.17   1105895
weighted avg       0.93      0.19      0.27   1105895

Accuracy: 0.18533043372110372
80-90%
              precision    recall  f1-score   support

           0       0.03      0.86      0.05      3093
           1       0.98      0.16      0.28    120943

    accuracy                           0.18    124036
   macro avg       0.50      0.51      0.16    124036
weighted avg       0.95      0.18      0.27    124036

Accuracy: 0.17793221322841757
90-100%
              precision    recall  f1-score   support

           0       0.02      0.86      0.05      2328
           1       0.98      0.16      0.27     97067

    accuracy                           0.17     99395
   macro avg       0.50      0.51      0.16     99395
weighted avg       0.96      0.17      0.27     99395

Accuracy: 0.17422405553599277

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.46      0.58  24893266
           1       0.57      0.85      0.68  20563095

    accuracy                           0.64  45456361
   macro avg       0.68      0.66      0.63  45456361
weighted avg       0.69      0.64      0.63  45456361

Accuracy: 0.6402726122313223
0-1%
              precision    recall  f1-score   support

           0       1.00      0.87      0.93   4873589
           1       0.01      0.82      0.01      3872

    accuracy                           0.87   4877461
   macro avg       0.50      0.84      0.47   4877461
weighted avg       1.00      0.87      0.93   4877461

Accuracy: 0.8720295251976387
1-10%
              precision    recall  f1-score   support

           0       0.85      0.39      0.53  16949103
           1       0.40      0.85      0.54   8016772

    accuracy                           0.54  24965875
   macro avg       0.62      0.62      0.54  24965875
weighted avg       0.70      0.54      0.53  24965875

Accuracy: 0.5353292844733061
10-20%
              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6907903679516935
20-40%
              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7602424548638199
40-80%
              precision    recall  f1-score   support

           0       0.13      0.24      0.17    235909
           1       0.92      0.85      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.7996167937157405
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.90    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.8141836504951657
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8178182949938738

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839017975944005

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.6839017975944005
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9916634904922869

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9916634904922869
1-10%
              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.53      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.695844067151662

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7441914670665505
10-20%
              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097432668595294

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5730100483464452
20-40%
              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.61  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.693459291953739

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.5668543608143397
40-80%
              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5619634486947749

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.6854920479193359
80-90%
              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.70    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.5587174844378767
90-100%
              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5582065091065245

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.75      0.25      0.37  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.55  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.620836784537152
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.26      0.20      0.22      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.60      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9989076283746811
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.23      0.34   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.58      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7077758740681029
10-20%
              precision    recall  f1-score   support

           0       0.29      0.82      0.43   2057494
           1       0.79      0.25      0.38   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.40   7518650

Accuracy: 0.40772731806906826
20-40%
              precision    recall  f1-score   support

           0       0.16      0.80      0.27    744974
           1       0.87      0.25      0.39   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.33   4805513
weighted avg       0.76      0.34      0.38   4805513

Accuracy: 0.33935586065421114
40-80%
              precision    recall  f1-score   support

           0       0.09      0.80      0.17    235909
           1       0.93      0.25      0.40   2483775

    accuracy                           0.30   2719684
   macro avg       0.51      0.53      0.28   2719684
weighted avg       0.86      0.30      0.38   2719684

Accuracy: 0.3017354222034619
80-90%
              precision    recall  f1-score   support

           0       0.06      0.80      0.12     18577
           1       0.95      0.25      0.40    296772

    accuracy                           0.29    315349
   macro avg       0.51      0.53      0.26    315349
weighted avg       0.90      0.29      0.38    315349

Accuracy: 0.2853251476935078
90-100%
              precision    recall  f1-score   support

           0       0.06      0.80      0.11     13620
           1       0.96      0.25      0.40    240209

    accuracy                           0.28    253829
   macro avg       0.51      0.53      0.25    253829
weighted avg       0.91      0.28      0.38    253829

Accuracy: 0.2823318060584094

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6674256113373301
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968864496041611
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.81      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.65254780517554
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.65      0.57      0.56   8856813

Accuracy: 0.5749673161214988
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.6626319981563883
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.7307795843011137
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7593804117760247
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.76    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.76      0.78    666440

Accuracy: 0.7649480823479983

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167018599515518

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7167018599515518
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%
              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781143208746824

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632520704614585
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7950830755686871

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.66138677648495
20-40%


              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6159593407619446
40-80%
              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217346495680594

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5965498977626903
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5877725314900608
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.586628953844307

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6774687832193472
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.39   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9062160731627035
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6538057199581836
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.49   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5224264708882219
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.44402930141147046
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.41063014658358127
90-100%
              precision    recall  f1-score   support

           0       0.16      0.80      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.4048316427585379

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_8_id

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.50      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6982908181921955
0-1%
              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.6716834650520792
1-10%
              precision    recall  f1-score   support

           0       0.08      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9353038428461727
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7690767570810032

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.769076736994746
0-1%
              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.73      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7502710744216505
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9349467281442995
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  28055468
           1       0.79      0.65      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7685307121785367
0-1%
              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7497123083735934
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9344714736102342
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7377634671675964
0-1%
              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.80      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.715694115131172
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9332152833413179
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.6984824410860535
0-1%
              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6725060111150042
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9291583255677731
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.6604382865514694
0-1%
              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329103662180051
1-10%
              precision    recall  f1-score   support

           0       0.11      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9027331852318022
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7152016537439638
0-1%
              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8707563652580665
1-10%
              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.60  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.60      0.53  27835287

Accuracy: 0.5950102831704233
10-20%
              precision    recall  f1-score   support

           0       0.34      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.61      0.50      0.47   3890639
weighted avg       0.80      0.87      0.81   3890639

Accuracy: 0.870530522107037
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744123779742474
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9506700311453369
1-10%
              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.6607368912704223
10-20%
              precision    recall  f1-score   support

           0       0.26      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8687446972078365
20-40%
              precision    recall  f1-score   support

           0       0.49      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.71      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303611621440541
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.7698857239726089
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.03    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590021232453532
1-10%
              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.71      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498426619420162
10-20%
              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.864253918186704
20-40%
              precision    recall  f1-score   support

           0       0.42      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.67      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9303493580708934
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.734535471924807
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5909476342025861
10-20%
              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.85027035404724
20-40%
              precision    recall  f1-score   support

           0       0.28      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.61      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302379276202564
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878533967271871
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.5183614237568307
10-20%
              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

    accuracy                           0.80   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.80      0.79   3890639

Accuracy: 0.7972348501107401
20-40%
              precision    recall  f1-score   support

           0       0.21      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.57      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295060750842928
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6434090067505757
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.4803318176672653
10-20%
              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5284021467938814
20-40%
              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.89   2117913

Accuracy: 0.9214608909808855
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7215495978659621
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9941699175042097
1-10%
              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6173350223054469
10-20%
              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257095356214214
20-40%
              precision    recall  f1-score   support

           0       0.50      0.00      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.67      0.50      0.46   4805513
weighted avg       0.79      0.84      0.78   4805513

Accuracy: 0.8449805463017164
40-80%
              precision    recall  f1-score   support

           0       0.72      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.82      0.50      0.48   2719684
weighted avg       0.90      0.91      0.87   2719684

Accuracy: 0.9132616142169457
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542728750329

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766542508759116
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990593466559753
1-10%
              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.72113991598532
10-20%
              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7134387157268924
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411520268491626
40-80%
              precision    recall  f1-score   support

           0       0.66      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.79      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9132936032274338
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.7719615963099202
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.26      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992012237514559
1-10%
              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.722836591948009
10-20%
              precision    recall  f1-score   support

           0       0.39      0.28      0.33   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6843844307156205
20-40%
              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.50   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8332648356169258
40-80%
              precision    recall  f1-score   support

           0       0.54      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.73      0.50      0.48   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9132895586399008
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7374187960184494
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.6923660396441143
10-20%
              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5908697705040133
20-40%
              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8112522013778758
40-80%
              precision    recall  f1-score   support

           0       0.42      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.67      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9130674740153636
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6873951480629961
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.31   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.3814477333031861
20-40%
              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7366915873497794
40-80%
              precision    recall  f1-score   support

           0       0.28      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9113764687368091
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6374343955953712
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.44132041677964456
40-80%
              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8962475052248717
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7211361733105741
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.95      0.82      0.88  11439888
           1       0.29      0.64      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.806773897238147
10-20%
              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.5348625967376753
20-40%
              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.65823360411283
40-80%
              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.7947320985448554
80-90%
              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8546868755643049
90-100%
              precision    recall  f1-score   support

           0       0.79      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.50      0.46    666440
weighted avg       0.86      0.87      0.80    666440

Accuracy: 0.8666031450693236

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763886425029588
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945675836759714
10-20%
              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476544102263422
20-40%
              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684277883198992
40-80%


              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912157703531654
80-90%
              precision    recall  f1-score   support

           0       0.68      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551580546962498
90-100%
              precision    recall  f1-score   support

           0       0.76      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669272552667907

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772303576449487
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9017020927095967
10-20%
              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.50   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.61   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6522328065411339
20-40%
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6616044667251751
40-80%
              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849300220356143
80-90%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550273086544012
90-100%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.8672363603625233

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.7512692612359204
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001857892613555
10-20%
              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.51   8856813

Accuracy: 0.603929652799489
20-40%
              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6067868596739432
40-80%
              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7681667560002382
80-90%
              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529205705461238
90-100%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671103175079528

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7009194793552406
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.88      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.73      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.569558598561356
20-40%
              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45323706205042585
40-80%
              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.59      0.58   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.711772735393961
80-90%
              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.84579367781215
90-100%
              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637476742092312

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394334081282478
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.95      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.65      0.50      0.26   8578813
weighted avg       0.74      0.35      0.18   8578813

Accuracy: 0.3491932974876594
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.47553379786790545
80-90%
              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8046358106007904
90-100%
              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8436243322729728

LR_9

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.46      0.62  28055468
           1       0.58      0.95      0.72  21729815

    accuracy                           0.67  49785283
   macro avg       0.75      0.71      0.67  49785283
weighted avg       0.77      0.67      0.66  49785283

Accuracy: 0.6748175560235341
0-1%
              precision    recall  f1-score   support

           0       0.92      0.47      0.62  27764588
           1       0.52      0.93      0.67  17098553

    accuracy                           0.65  44863141
   macro avg       0.72      0.70      0.64  44863141
weighted avg       0.77      0.65      0.64  44863141

Accuracy: 0.6456711535199909
1-10%
              precision    recall  f1-score   support

           0       0.19      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.56      0.50      0.49   4452351
weighted avg       0.89      0.93      0.90   4452351

Accuracy: 0.9349646961796139
10-20%
              precision    recall  f1-score   support

           0       0.28      0.01      0.02      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.64      0.50      0.51    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9904141561342864
20-40%
              precision    recall  f1-score   support

           0       0.19      0.02      0.04       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.59      0.51      0.52    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9946504911336844
40-80%
              precision    recall  f1-score   support

           0       0.24      0.08      0.12       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.62      0.54      0.56     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9969726159350488
80-90%
              precision    recall  f1-score   support

           0       0.12      0.07      0.09        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.56      0.53      0.54      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9971567831031681
90-100%
              precision    recall  f1-score   support

           0       0.36      0.22      0.28        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.68      0.61      0.64      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9963183730715287

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.7248628274343645

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055468
           1       0.64      0.84      0.73  21729815

    accuracy                           0.72  49785283
   macro avg       0.74      0.74      0.72  49785283
weighted avg       0.75      0.72      0.72  49785283

Accuracy: 0.72486278726185
0-1%


              precision    recall  f1-score   support

           0       0.84      0.64      0.73  27764588
           1       0.58      0.80      0.67  17098553

    accuracy                           0.70  44863141
   macro avg       0.71      0.72      0.70  44863141
weighted avg       0.74      0.70      0.71  44863141

Accuracy: 0.701951341302652
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9280243179389944

              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28052152
           1       0.64      0.84      0.72  21263340

    accuracy                           0.72  49315492
   macro avg       0.74      0.74      0.72  49315492
weighted avg       0.75      0.72      0.72  49315492

Accuracy: 0.7223619506827591
10-20%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28054607
           1       0.64      0.84      0.72  21520956

    accuracy                           0.72  49575563
   macro avg       0.74      0.74      0.72  49575563
weighted avg       0.75      0.72      0.72  49575563

Accuracy: 0.7237477867876155

              precision    recall  f1-score   support

           0       0.05      0.02      0.03      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.52      0.51      0.51    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.986534446362724
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055266
           1       0.64      0.84      0.73  21651524

    accuracy                           0.72  49706790
   macro avg       0.74      0.74      0.72  49706790
weighted avg       0.75      0.72      0.72  49706790

Accuracy: 0.7244478269467813

              precision    recall  f1-score   support

           0       0.03      0.04      0.03       659
           1       1.00      0.99      0.99    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9889123427343458
40-80%
              precision    recall  f1-score   support

           0       0.84      0.64      0.72  28055435
           1       0.64      0.84      0.73  21716758

    accuracy                           0.72  49772193
   macro avg       0.74      0.74      0.72  49772193
weighted avg       0.75      0.72      0.72  49772193

Accuracy: 0.7247940230401341

              precision    recall  f1-score   support

           0       0.02      0.08      0.03       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.54      0.51     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9879057535587052
80-90%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02        15
           1       1.00      0.99      0.99      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.9879501760086651
90-100%
              precision    recall  f1-score   support

           0       0.05      0.22      0.08        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.52      0.60      0.54      5704
weighted avg       0.99      0.98      0.99      5704

Accuracy: 0.9847475455820477

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.78      0.75      0.76  28055468
           1       0.69      0.72      0.70  21729815

    accuracy                           0.74  49785283
   macro avg       0.73      0.73      0.73  49785283
weighted avg       0.74      0.74      0.74  49785283

Accuracy: 0.7358201016955151
0-1%
              precision    recall  f1-score   support

           0       0.78      0.75      0.77  27764588
           1       0.62      0.66      0.64  17098553

    accuracy                           0.72  44863141
   macro avg       0.70      0.70      0.70  44863141
weighted avg       0.72      0.72      0.72  44863141

Accuracy: 0.7158991609615564
1-10%
              precision    recall  f1-score   support

           0       0.09      0.04      0.06    287564
           1       0.94      0.97      0.95   4164787

    accuracy                           0.91   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.91      0.90   4452351

Accuracy: 0.911357842182703
10-20%
              precision    recall  f1-score   support

           0       0.02      0.04      0.03      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.51      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9765602470094705
20-40%
              precision    recall  f1-score   support

           0       0.02      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.98    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.98      0.98    131227

Accuracy: 0.9756528763135636
40-80%
              precision    recall  f1-score   support

           0       0.01      0.11      0.02       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.97     65403
   macro avg       0.50      0.54      0.50     65403
weighted avg       1.00      0.97      0.98     65403

Accuracy: 0.9674938458480498
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9615488762523694
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.50      5704
weighted avg       0.99      0.96      0.97      5704

Accuracy: 0.9565217391304348

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.88      0.77  28055468
           1       0.76      0.50      0.60  21729815

    accuracy                           0.71  49785283
   macro avg       0.73      0.69      0.69  49785283
weighted avg       0.72      0.71      0.70  49785283

Accuracy: 0.712129606655043
0-1%
              precision    recall  f1-score   support

           0       0.70      0.89      0.78  27764588
           1       0.68      0.39      0.49  17098553

    accuracy                           0.70  44863141
   macro avg       0.69      0.64      0.64  44863141
weighted avg       0.69      0.70      0.67  44863141

Accuracy: 0.6966158477401304
1-10%
              precision    recall  f1-score   support

           0       0.08      0.14      0.10    287564
           1       0.94      0.89      0.92   4164787

    accuracy                           0.85   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.85      0.86   4452351

Accuracy: 0.8456411006230191
10-20%
              precision    recall  f1-score   support

           0       0.01      0.07      0.02      2455
           1       0.99      0.95      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9417466768690088
20-40%
              precision    recall  f1-score   support

           0       0.01      0.12      0.02       659
           1       1.00      0.93      0.96    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9254421727236011
40-80%
              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.89      0.94     65234

    accuracy                           0.89     65403
   macro avg       0.50      0.54      0.48     65403
weighted avg       1.00      0.89      0.94     65403

Accuracy: 0.8922067795055273
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.87      0.93      7371

    accuracy                           0.87      7386
   macro avg       0.50      0.50      0.47      7386
weighted avg       1.00      0.87      0.93      7386

Accuracy: 0.8701597617113458
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.02        18
           1       1.00      0.87      0.93      5686

    accuracy                           0.87      5704
   macro avg       0.50      0.60      0.47      5704
weighted avg       0.99      0.87      0.93      5704

Accuracy: 0.8702664796633941

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.60      0.99      0.75  28055468
           1       0.91      0.14      0.25  21729815

    accuracy                           0.62  49785283
   macro avg       0.76      0.57      0.50  49785283
weighted avg       0.74      0.62      0.53  49785283

Accuracy: 0.6201705833428727
0-1%
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  27764588
           1       0.80      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.71      0.52      0.42  44863141
weighted avg       0.69      0.63      0.50  44863141

Accuracy: 0.6301739327614176
1-10%
              precision    recall  f1-score   support

           0       0.07      0.58      0.13    287564
           1       0.95      0.51      0.66   4164787

    accuracy                           0.51   4452351
   macro avg       0.51      0.54      0.40   4452351
weighted avg       0.89      0.51      0.63   4452351

Accuracy: 0.5123178743095501
10-20%
              precision    recall  f1-score   support

           0       0.01      0.25      0.02      2455
           1       0.99      0.76      0.86    257616

    accuracy                           0.76    260071
   macro avg       0.50      0.50      0.44    260071
weighted avg       0.98      0.76      0.85    260071

Accuracy: 0.7580083900165724
20-40%
              precision    recall  f1-score   support

           0       0.01      0.36      0.01       659
           1       1.00      0.67      0.80    130568

    accuracy                           0.66    131227
   macro avg       0.50      0.51      0.40    131227
weighted avg       0.99      0.66      0.79    131227

Accuracy: 0.6647412498952198
40-80%
              precision    recall  f1-score   support

           0       0.00      0.51      0.01       169
           1       1.00      0.51      0.67     65234

    accuracy                           0.51     65403
   macro avg       0.50      0.51      0.34     65403
weighted avg       0.99      0.51      0.67     65403

Accuracy: 0.5070409614237879
80-90%
              precision    recall  f1-score   support

           0       0.00      0.60      0.00        15
           1       1.00      0.40      0.57      7371

    accuracy                           0.40      7386
   macro avg       0.50      0.50      0.29      7386
weighted avg       1.00      0.40      0.57      7386

Accuracy: 0.4018413214189006
90-100%
              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.40      0.57      5686

    accuracy                           0.40      5704
   macro avg       0.50      0.53      0.29      5704
weighted avg       0.99      0.40      0.57      5704

Accuracy: 0.39779102384291726

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28055468
           1       0.95      0.03      0.06  21729815

    accuracy                           0.58  49785283
   macro avg       0.76      0.51      0.39  49785283
weighted avg       0.74      0.58      0.44  49785283

Accuracy: 0.5761586410988163
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.55      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.59      0.50      0.38  44863141
weighted avg       0.59      0.62      0.47  44863141

Accuracy: 0.6189119928094201
1-10%
              precision    recall  f1-score   support

           0       0.07      0.92      0.13    287564
           1       0.96      0.13      0.24   4164787

    accuracy                           0.19   4452351
   macro avg       0.51      0.53      0.18   4452351
weighted avg       0.90      0.19      0.23   4452351

Accuracy: 0.18560351598515032
10-20%
              precision    recall  f1-score   support

           0       0.01      0.69      0.02      2455
           1       0.99      0.30      0.47    257616

    accuracy                           0.31    260071
   macro avg       0.50      0.50      0.24    260071
weighted avg       0.98      0.31      0.46    260071

Accuracy: 0.30831196096450586
20-40%
              precision    recall  f1-score   support

           0       0.00      0.90      0.01       659
           1       0.99      0.08      0.15    130568

    accuracy                           0.08    131227
   macro avg       0.50      0.49      0.08    131227
weighted avg       0.99      0.08      0.15    131227

Accuracy: 0.08415950985696541
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       1.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       1.00      0.00      0.00     65403

Accuracy: 0.0038683240829931347
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  26119367
           1       0.60      0.95      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.76      0.71      0.68  47734596
weighted avg       0.77      0.69      0.68  47734596

Accuracy: 0.6898931123246544
0-1%
              precision    recall  f1-score   support

           0       0.97      0.81      0.89  12053010
           1       0.08      0.40      0.14    508421

    accuracy                           0.80  12561431
   macro avg       0.53      0.61      0.51  12561431
weighted avg       0.93      0.80      0.86  12561431

Accuracy: 0.7980078065946468
1-10%
              precision    recall  f1-score   support

           0       0.76      0.20      0.31  13368467
           1       0.56      0.94      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.57      0.51  27835287
weighted avg       0.66      0.58      0.52  27835287

Accuracy: 0.5849552404471347
10-20%
              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.868560151687165
20-40%
              precision    recall  f1-score   support

           0       0.23      0.01      0.02    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9284191560276556
40-80%
              precision    recall  f1-score   support

           0       0.21      0.02      0.03     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.58      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9603850275116534
80-90%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.60      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9732335773485117
90-100%
              precision    recall  f1-score   support

           0       0.21      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.59      0.51      0.52     99395
weighted avg       0.96      0.97      0.97     99395

Accuracy: 0.974757281553398

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721

              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26119367
           1       0.66      0.85      0.74  21615229

    accuracy                           0.73  47734596
   macro avg       0.75      0.74      0.73  47734596
weighted avg       0.76      0.73      0.73  47734596

Accuracy: 0.7341014680421721
0-1%
              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669

              precision    recall  f1-score   support

           0       0.97      0.91      0.94  12053010
           1       0.10      0.23      0.14    508421

    accuracy                           0.88  12561431
   macro avg       0.53      0.57      0.54  12561431
weighted avg       0.93      0.88      0.90  12561431

Accuracy: 0.8822924712956669
1-10%
              precision    recall  f1-score   support

           0       0.84      0.66      0.74  25421477
           1       0.58      0.79      0.67  14975241

    accuracy                           0.71  40396718
   macro avg       0.71      0.72      0.70  40396718
weighted avg       0.74      0.71      0.71  40396718

Accuracy: 0.7065304909176038

              precision    recall  f1-score   support

           0       0.68      0.43      0.53  13368467
           1       0.61      0.81      0.69  14466820

    accuracy                           0.63  27835287
   macro avg       0.64      0.62      0.61  27835287
weighted avg       0.64      0.63      0.61  27835287

Accuracy: 0.6272131126221189
10-20%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  25924842
           1       0.62      0.82      0.71  18362515

    accuracy                           0.72  44287357
   macro avg       0.73      0.73      0.72  44287357
weighted avg       0.75      0.72      0.72  44287357

Accuracy: 0.7192857772027353

              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8517246138744818
20-40%
              precision    recall  f1-score   support

           0       0.84      0.64      0.73  26072330
           1       0.65      0.84      0.73  20332940

    accuracy                           0.73  46405270
   macro avg       0.74      0.74      0.73  46405270
weighted avg       0.75      0.73      0.73  46405270

Accuracy: 0.7280703032220263

              precision    recall  f1-score   support

           0       0.12      0.04      0.06    147488
           1       0.93      0.98      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.53      0.51      0.51   2117913
weighted avg       0.88      0.91      0.89   2117913

Accuracy: 0.9117621923091269
40-80%
              precision    recall  f1-score   support

           0       0.83      0.64      0.73  26113946
           1       0.66      0.84      0.74  21397219

    accuracy                           0.73  47511165
   macro avg       0.75      0.74      0.73  47511165
weighted avg       0.76      0.73      0.73  47511165

Accuracy: 0.7330627863997863

              precision    recall  f1-score   support

           0       0.07      0.05      0.06     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.94   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.94      0.94   1105895

Accuracy: 0.9425560292794524
80-90%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.95    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.95      0.95    124036

Accuracy: 0.954053661840111
90-100%
              precision    recall  f1-score   support

           0       0.06      0.06      0.06      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9561144926807184

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.74      0.76  26119367
           1       0.70      0.74      0.72  21615229

    accuracy                           0.74  47734596
   macro avg       0.74      0.74      0.74  47734596
weighted avg       0.74      0.74      0.74  47734596

Accuracy: 0.7409823684272933
0-1%
              precision    recall  f1-score   support

           0       0.96      0.95      0.96  12053010
           1       0.11      0.15      0.13    508421

    accuracy                           0.92  12561431
   macro avg       0.54      0.55      0.54  12561431
weighted avg       0.93      0.92      0.92  12561431

Accuracy: 0.917398742229289
1-10%
              precision    recall  f1-score   support

           0       0.62      0.59      0.61  13368467
           1       0.64      0.67      0.65  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.63      0.63  27835287
weighted avg       0.63      0.63      0.63  27835287

Accuracy: 0.6313308714941578
10-20%
              precision    recall  f1-score   support

           0       0.19      0.11      0.14    503365
           1       0.88      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8207253358638517
20-40%
              precision    recall  f1-score   support

           0       0.10      0.09      0.10    147488
           1       0.93      0.94      0.94   1970425

    accuracy                           0.88   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.88      0.88   2117913

Accuracy: 0.8813931450442015
40-80%
              precision    recall  f1-score   support

           0       0.06      0.09      0.07     41616
           1       0.96      0.94      0.95   1064279

    accuracy                           0.91   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.91      0.92   1105895

Accuracy: 0.9109671352162728
80-90%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      3093
           1       0.98      0.94      0.96    120943

    accuracy                           0.92    124036
   macro avg       0.51      0.52      0.51    124036
weighted avg       0.95      0.92      0.94    124036

Accuracy: 0.921490535005966
90-100%
              precision    recall  f1-score   support

           0       0.04      0.10      0.06      2328
           1       0.98      0.94      0.96     97067

    accuracy                           0.92     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.92      0.94     99395

Accuracy: 0.923436792595201

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.86      0.77  26119367
           1       0.76      0.54      0.63  21615229

    accuracy                           0.71  47734596
   macro avg       0.73      0.70      0.70  47734596
weighted avg       0.72      0.71      0.71  47734596

Accuracy: 0.7148481784574022
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.15      0.07      0.10    508421

    accuracy                           0.95  12561431
   macro avg       0.56      0.53      0.54  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9455229264882321
1-10%
              precision    recall  f1-score   support

           0       0.56      0.78      0.65  13368467
           1       0.68      0.43      0.52  14466820

    accuracy                           0.60  27835287
   macro avg       0.62      0.60      0.59  27835287
weighted avg       0.62      0.60      0.59  27835287

Accuracy: 0.5977541384789745
10-20%
              precision    recall  f1-score   support

           0       0.17      0.28      0.21    503365
           1       0.88      0.80      0.84   3387274

    accuracy                           0.73   3890639
   macro avg       0.53      0.54      0.52   3890639
weighted avg       0.79      0.73      0.76   3890639

Accuracy: 0.72868389999689
20-40%
              precision    recall  f1-score   support

           0       0.10      0.23      0.14    147488
           1       0.94      0.84      0.88   1970425

    accuracy                           0.79   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.79      0.83   2117913

Accuracy: 0.7933744209511912
40-80%
              precision    recall  f1-score   support

           0       0.05      0.22      0.09     41616
           1       0.97      0.84      0.90   1064279

    accuracy                           0.82   1105895
   macro avg       0.51      0.53      0.49   1105895
weighted avg       0.93      0.82      0.87   1105895

Accuracy: 0.8203654053956297
80-90%
              precision    recall  f1-score   support

           0       0.04      0.24      0.06      3093
           1       0.98      0.84      0.90    120943

    accuracy                           0.83    124036
   macro avg       0.51      0.54      0.48    124036
weighted avg       0.95      0.83      0.88    124036

Accuracy: 0.8257683253249056
90-100%
              precision    recall  f1-score   support

           0       0.03      0.22      0.06      2328
           1       0.98      0.84      0.90     97067

    accuracy                           0.83     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.83      0.88     99395

Accuracy: 0.8270335529956235

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.58      0.98      0.73  26119367
           1       0.85      0.15      0.26  21615229

    accuracy                           0.60  47734596
   macro avg       0.72      0.56      0.49  47734596
weighted avg       0.70      0.60      0.51  47734596

Accuracy: 0.6032625687247882
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9588855760143888
1-10%
              precision    recall  f1-score   support

           0       0.49      0.97      0.65  13368467
           1       0.72      0.07      0.12  14466820

    accuracy                           0.50  27835287
   macro avg       0.60      0.52      0.39  27835287
weighted avg       0.61      0.50      0.38  27835287

Accuracy: 0.5011759713488854
10-20%
              precision    recall  f1-score   support

           0       0.14      0.77      0.23    503365
           1       0.89      0.27      0.41   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.52      0.32   3890639
weighted avg       0.79      0.33      0.39   3890639

Accuracy: 0.33145146594171293
20-40%
              precision    recall  f1-score   support

           0       0.07      0.63      0.13    147488
           1       0.94      0.41      0.57   1970425

    accuracy                           0.43   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.43      0.54   2117913

Accuracy: 0.4257115377260539
40-80%
              precision    recall  f1-score   support

           0       0.04      0.59      0.08     41616
           1       0.97      0.45      0.62   1064279

    accuracy                           0.46   1105895
   macro avg       0.50      0.52      0.35   1105895
weighted avg       0.93      0.46      0.60   1105895

Accuracy: 0.4593474063993417
80-90%
              precision    recall  f1-score   support

           0       0.03      0.60      0.05      3093
           1       0.98      0.45      0.62    120943

    accuracy                           0.46    124036
   macro avg       0.50      0.53      0.34    124036
weighted avg       0.95      0.46      0.61    124036

Accuracy: 0.4583024283272598
90-100%
              precision    recall  f1-score   support

           0       0.02      0.57      0.05      2328
           1       0.98      0.45      0.62     97067

    accuracy                           0.45     99395
   macro avg       0.50      0.51      0.33     99395
weighted avg       0.96      0.45      0.60     99395

Accuracy: 0.45403692338648827

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471723275923399
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.95949999645741
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.48      0.63  24893266
           1       0.60      0.95      0.74  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.71      0.68  45456361
weighted avg       0.77      0.69      0.68  45456361

Accuracy: 0.6928225072834141
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.00      0.18      0.01      3872

    accuracy                           0.95   4877461
   macro avg       0.50      0.56      0.49   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9516457435538695
1-10%
              precision    recall  f1-score   support

           0       0.88      0.43      0.58  16949103
           1       0.42      0.88      0.57   8016772

    accuracy                           0.57  24965875
   macro avg       0.65      0.65      0.57  24965875
weighted avg       0.73      0.57      0.58  24965875

Accuracy: 0.5747385581318499
10-20%
              precision    recall  f1-score   support

           0       0.45      0.03      0.05   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.72   7518650
   macro avg       0.59      0.51      0.44   7518650
weighted avg       0.65      0.72      0.62   7518650

Accuracy: 0.7249386525506574
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.76      0.84      0.78   4805513

Accuracy: 0.8415222266592557
40-80%
              precision    recall  f1-score   support

           0       0.26      0.02      0.04    235909
           1       0.91      0.99      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.59      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9094619080746146
80-90%
              precision    recall  f1-score   support

           0       0.23      0.03      0.05     18577
           1       0.94      0.99      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.59      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9372853568585916
90-100%
              precision    recall  f1-score   support

           0       0.22      0.03      0.05     13620
           1       0.95      0.99      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.58      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.9423548924669758

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24893266
           1       0.66      0.85      0.74  20563095

    accuracy                           0.74  45456361
   macro avg       0.75      0.75      0.74  45456361
weighted avg       0.76      0.74      0.74  45456361

Accuracy: 0.7366477048173742
0-1%
              precision    recall  f1-score   support

           0       1.00      0.98      0.99   4873589
           1       0.01      0.11      0.01      3872

    accuracy                           0.98   4877461
   macro avg       0.50      0.55      0.50   4877461
weighted avg       1.00      0.98      0.99   4877461

Accuracy: 0.9834586068448318
1-10%
              precision    recall  f1-score   support

           0       0.81      0.65      0.72  16949103
           1       0.48      0.69      0.56   8016772

    accuracy                           0.66  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.66      0.67  24965875

Accuracy: 0.6594332463813105

              precision    recall  f1-score   support

           0       0.86      0.72      0.79  21822692
           1       0.48      0.69      0.56   8020644

    accuracy                           0.71  29843336
   macro avg       0.67      0.70      0.67  29843336
weighted avg       0.76      0.71      0.73  29843336

Accuracy: 0.7123905651834634
10-20%
              precision    recall  f1-score   support

           0       0.85      0.67      0.75  23880186
           1       0.57      0.79      0.66  13481800

    accuracy                           0.71  37361986
   macro avg       0.71      0.73      0.71  37361986
weighted avg       0.75      0.71      0.72  37361986

Accuracy: 0.7124592895035077

              precision    recall  f1-score   support

           0       0.42      0.13      0.19   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7127320729120254
20-40%
              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24625160
           1       0.63      0.83      0.71  17542339

    accuracy                           0.72  42167499
   macro avg       0.73      0.74      0.72  42167499
weighted avg       0.75      0.72      0.73  42167499

Accuracy: 0.7246990863745559

              precision    recall  f1-score   support

           0       0.25      0.08      0.13    744974
           1       0.85      0.96      0.90   4060539

    accuracy                           0.82   4805513
   macro avg       0.55      0.52      0.51   4805513
weighted avg       0.76      0.82      0.78   4805513

Accuracy: 0.8198612718350777
40-80%
              precision    recall  f1-score   support

           0       0.16      0.08      0.10    235909
           1       0.92      0.96      0.94   2483775

    accuracy                           0.88   2719684
   macro avg       0.54      0.52      0.52   2719684
weighted avg       0.85      0.88      0.87   2719684

Accuracy: 0.8848274284806618

              precision    recall  f1-score   support

           0       0.84      0.65      0.73  24861069
           1       0.66      0.84      0.74  20026114

    accuracy                           0.73  44887183
   macro avg       0.75      0.74      0.73  44887183
weighted avg       0.76      0.73      0.73  44887183

Accuracy: 0.7344011541111858
80-90%
              precision    recall  f1-score   support

           0       0.12      0.08      0.09     18577
           1       0.94      0.96      0.95    296772

    accuracy                           0.91    315349
   macro avg       0.53      0.52      0.52    315349
weighted avg       0.89      0.91      0.90    315349

Accuracy: 0.911764426080311
90-100%
              precision    recall  f1-score   support

           0       0.10      0.07      0.09     13620
           1       0.95      0.96      0.96    240209

    accuracy                           0.92    253829
   macro avg       0.53      0.52      0.52    253829
weighted avg       0.90      0.92      0.91    253829

Accuracy: 0.9163767733395317

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.78      0.75      0.76  24893266
           1       0.71      0.74      0.72  20563095

    accuracy                           0.74  45456361
   macro avg       0.74      0.74      0.74  45456361
weighted avg       0.74      0.74      0.74  45456361

Accuracy: 0.7428775039867358
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.01      0.07      0.02      3872

    accuracy                           0.99   4877461
   macro avg       0.50      0.53      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.9929239823752563
1-10%
              precision    recall  f1-score   support

           0       0.77      0.77      0.77  16949103
           1       0.51      0.52      0.52   8016772

    accuracy                           0.69  24965875
   macro avg       0.64      0.64      0.64  24965875
weighted avg       0.69      0.69      0.69  24965875

Accuracy: 0.6878690612686317
10-20%
              precision    recall  f1-score   support

           0       0.40      0.26      0.32   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6885870468767664
20-40%
              precision    recall  f1-score   support

           0       0.24      0.18      0.20    744974
           1       0.86      0.90      0.88   4060539

    accuracy                           0.79   4805513
   macro avg       0.55      0.54      0.54   4805513
weighted avg       0.76      0.79      0.77   4805513

Accuracy: 0.7856116506187789
40-80%
              precision    recall  f1-score   support

           0       0.14      0.15      0.15    235909
           1       0.92      0.91      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8464549557963351
80-90%
              precision    recall  f1-score   support

           0       0.10      0.15      0.12     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.87    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.90      0.87      0.88    315349

Accuracy: 0.872087750397179
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.93    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.8773347411052322

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.86      0.77  24893266
           1       0.76      0.54      0.63  20563095

    accuracy                           0.72  45456361
   macro avg       0.73      0.70      0.70  45456361
weighted avg       0.73      0.72      0.71  45456361

Accuracy: 0.7165926018582965
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.02      0.03      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.51      0.52      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9978864003218068
1-10%
              precision    recall  f1-score   support

           0       0.73      0.89      0.80  16949103
           1       0.56      0.29      0.38   8016772

    accuracy                           0.70  24965875
   macro avg       0.64      0.59      0.59  24965875
weighted avg       0.67      0.70      0.67  24965875

Accuracy: 0.6978424349236708
10-20%
              precision    recall  f1-score   support

           0       0.34      0.52      0.41   2057494
           1       0.78      0.63      0.69   5461156

    accuracy                           0.60   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.60      0.62   7518650

Accuracy: 0.5973688095602269
20-40%
              precision    recall  f1-score   support

           0       0.22      0.38      0.28    744974
           1       0.87      0.75      0.80   4060539

    accuracy                           0.69   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.69      0.72   4805513

Accuracy: 0.6911805253674269
40-80%
              precision    recall  f1-score   support

           0       0.13      0.33      0.19    235909
           1       0.93      0.79      0.85   2483775

    accuracy                           0.75   2719684
   macro avg       0.53      0.56      0.52   2719684
weighted avg       0.86      0.75      0.79   2719684

Accuracy: 0.7467948482250144
80-90%
              precision    recall  f1-score   support

           0       0.09      0.31      0.14     18577
           1       0.95      0.80      0.87    296772

    accuracy                           0.77    315349
   macro avg       0.52      0.56      0.50    315349
weighted avg       0.90      0.77      0.82    315349

Accuracy: 0.770765088838081
90-100%
              precision    recall  f1-score   support

           0       0.08      0.31      0.13     13620
           1       0.95      0.80      0.87    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.56      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7773067695180613

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.59      0.97      0.73  24893266
           1       0.83      0.17      0.28  20563095

    accuracy                           0.61  45456361
   macro avg       0.71      0.57      0.50  45456361
weighted avg       0.69      0.61      0.53  45456361

Accuracy: 0.6076901976381259
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991612439340878
1-10%
              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.62      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.52      0.46  24965875
weighted avg       0.67      0.69      0.59  24965875

Accuracy: 0.6862799321073265
10-20%
              precision    recall  f1-score   support

           0       0.28      0.90      0.43   2057494
           1       0.79      0.15      0.25   5461156

    accuracy                           0.35   7518650
   macro avg       0.54      0.52      0.34   7518650
weighted avg       0.66      0.35      0.30   7518650

Accuracy: 0.3530458260458992
20-40%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    744974
           1       0.88      0.26      0.40   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.77      0.34      0.38   4805513

Accuracy: 0.34364738998729166
40-80%
              precision    recall  f1-score   support

           0       0.10      0.72      0.17    235909
           1       0.93      0.36      0.52   2483775

    accuracy                           0.39   2719684
   macro avg       0.51      0.54      0.35   2719684
weighted avg       0.86      0.39      0.49   2719684

Accuracy: 0.39280519354454413
80-90%
              precision    recall  f1-score   support

           0       0.07      0.68      0.12     18577
           1       0.95      0.41      0.57    296772

    accuracy                           0.42    315349
   macro avg       0.51      0.54      0.35    315349
weighted avg       0.90      0.42      0.54    315349

Accuracy: 0.42275383781144066
90-100%
              precision    recall  f1-score   support

           0       0.06      0.67      0.11     13620
           1       0.96      0.42      0.58    240209

    accuracy                           0.43    253829
   macro avg       0.51      0.54      0.35    253829
weighted avg       0.91      0.43      0.55    253829

Accuracy: 0.4293638630731713

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.50      0.64  22531902
           1       0.58      0.95      0.72  16938696

    accuracy                           0.69  39470598
   macro avg       0.75      0.72      0.68  39470598
weighted avg       0.78      0.69      0.68  39470598

Accuracy: 0.6886203244247782
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999606451359001
1-10%
              precision    recall  f1-score   support

           0       0.95      0.74      0.83  11439888
           1       0.22      0.67      0.33   1271288

    accuracy                           0.73  12711176
   macro avg       0.59      0.70      0.58  12711176
weighted avg       0.88      0.73      0.78  12711176

Accuracy: 0.7288902301407832
10-20%
              precision    recall  f1-score   support

           0       0.78      0.19      0.30   5044441
           1       0.46      0.93      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.46   8856813
weighted avg       0.65      0.51      0.44   8856813

Accuracy: 0.5068793932986956
20-40%
              precision    recall  f1-score   support

           0       0.59      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.52      0.45   8578813
weighted avg       0.63      0.66      0.55   8578813

Accuracy: 0.6574943410003226
40-80%
              precision    recall  f1-score   support

           0       0.41      0.05      0.08   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.60      0.51      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.790120580469696
80-90%
              precision    recall  f1-score   support

           0       0.33      0.05      0.08    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.60      0.51      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8478708130430278
90-100%
              precision    recall  f1-score   support

           0       0.32      0.05      0.08     88944
           1       0.87      0.98      0.92    577496

    accuracy                           0.86    666440
   macro avg       0.60      0.52      0.50    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8596722885781165

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609

              precision    recall  f1-score   support

           0       0.85      0.66      0.74  22531902
           1       0.65      0.84      0.73  16938696

    accuracy                           0.74  39470598
   macro avg       0.75      0.75      0.74  39470598
weighted avg       0.76      0.74      0.74  39470598

Accuracy: 0.7380526385741609
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999987096765869
1-10%
              precision    recall  f1-score   support

           0       0.94      0.89      0.91  12989887
           1       0.27      0.42      0.33   1271288

    accuracy                           0.85  14261175
   macro avg       0.61      0.65      0.62  14261175
weighted avg       0.88      0.85      0.86  14261175

Accuracy: 0.848054175059208

              precision    recall  f1-score   support

           0       0.93      0.88      0.90  11439888
           1       0.27      0.42      0.33   1271288

    accuracy                           0.83  12711176
   macro avg       0.60      0.65      0.62  12711176
weighted avg       0.87      0.83      0.85  12711176

Accuracy: 0.8295260800416893
10-20%
              precision    recall  f1-score   support

           0       0.89      0.77      0.83  18034328
           1       0.46      0.68      0.54   5083660

    accuracy                           0.75  23117988
   macro avg       0.68      0.72      0.69  23117988
weighted avg       0.80      0.75      0.77  23117988

Accuracy: 0.7512524446331575

              precision    recall  f1-score   support

           0       0.72      0.47      0.57   5044441
           1       0.52      0.76      0.62   3812372

    accuracy                           0.60   8856813
   macro avg       0.62      0.62      0.59   8856813
weighted avg       0.64      0.60      0.59   8856813

Accuracy: 0.5953830119253958
20-40%


              precision    recall  f1-score   support

           0       0.55      0.23      0.33   2995598
           1       0.69      0.90      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.55   8578813
weighted avg       0.64      0.67      0.62   8578813

Accuracy: 0.6660222107650557
40-80%
              precision    recall  f1-score   support

           0       0.85      0.66      0.75  22324987
           1       0.64      0.83      0.72  15668439

    accuracy                           0.73  37993426
   macro avg       0.74      0.75      0.73  37993426
weighted avg       0.76      0.73      0.74  37993426

Accuracy: 0.7347891185175035

              precision    recall  f1-score   support

           0       0.36      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7680354157981458
80-90%
              precision    recall  f1-score   support

           0       0.28      0.16      0.20    117971
           1       0.87      0.93      0.90    692761

    accuracy                           0.82    810732
   macro avg       0.57      0.54      0.55    810732
weighted avg       0.78      0.82      0.80    810732

Accuracy: 0.8174538565148532
90-100%
              precision    recall  f1-score   support

           0       0.26      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.83    666440
   macro avg       0.57      0.54      0.55    666440
weighted avg       0.79      0.83      0.81    666440

Accuracy: 0.8275118540303703

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.76      0.77  22531902
           1       0.69      0.74      0.72  16938696

    accuracy                           0.75  39470598
   macro avg       0.74      0.75      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7480624945180714
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999993548382935
1-10%
              precision    recall  f1-score   support

           0       0.92      0.93      0.92  11439888
           1       0.31      0.30      0.30   1271288

    accuracy                           0.86  12711176
   macro avg       0.62      0.61      0.61  12711176
weighted avg       0.86      0.86      0.86  12711176

Accuracy: 0.8637324351421143
10-20%
              precision    recall  f1-score   support

           0       0.68      0.64      0.66   5044441
           1       0.56      0.60      0.58   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.62      0.62   8856813
weighted avg       0.63      0.63      0.63   8856813

Accuracy: 0.6256777691930495
20-40%
              precision    recall  f1-score   support

           0       0.52      0.40      0.45   2995598
           1       0.71      0.80      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.60      0.60   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6613801932738247
40-80%
              precision    recall  f1-score   support

           0       0.34      0.30      0.32   1295061
           1       0.82      0.85      0.84   5001564

    accuracy                           0.74   6296625
   macro avg       0.58      0.57      0.58   6296625
weighted avg       0.72      0.74      0.73   6296625

Accuracy: 0.7355694518889088
80-90%
              precision    recall  f1-score   support

           0       0.25      0.28      0.27    117971
           1       0.88      0.86      0.87    692761

    accuracy                           0.77    810732
   macro avg       0.56      0.57      0.57    810732
weighted avg       0.78      0.77      0.78    810732

Accuracy: 0.7745901234933369
90-100%
              precision    recall  f1-score   support

           0       0.24      0.27      0.25     88944
           1       0.89      0.86      0.87    577496

    accuracy                           0.78    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.78      0.79    666440

Accuracy: 0.783961046755897

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.72      0.86      0.78  22531902
           1       0.75      0.55      0.64  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.73      0.73      0.72  39470598

Accuracy: 0.729504022209139
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.97      0.94  11439888
           1       0.37      0.17      0.24   1271288

    accuracy                           0.89  12711176
   macro avg       0.64      0.57      0.59  12711176
weighted avg       0.86      0.89      0.87  12711176

Accuracy: 0.8877047253535
10-20%
              precision    recall  f1-score   support

           0       0.64      0.82      0.71   5044441
           1       0.61      0.38      0.47   3812372

    accuracy                           0.63   8856813
   macro avg       0.62      0.60      0.59   8856813
weighted avg       0.62      0.63      0.61   8856813

Accuracy: 0.6289582945919712
20-40%
              precision    recall  f1-score   support

           0       0.46      0.64      0.54   2995598
           1       0.76      0.60      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.65      0.62      0.62   8578813

Accuracy: 0.6154167249012189
40-80%
              precision    recall  f1-score   support

           0       0.30      0.53      0.39   1295061
           1       0.85      0.68      0.76   5001564

    accuracy                           0.65   6296625
   macro avg       0.58      0.61      0.57   6296625
weighted avg       0.74      0.65      0.68   6296625

Accuracy: 0.6526744089095349
80-90%
              precision    recall  f1-score   support

           0       0.22      0.50      0.31    117971
           1       0.89      0.70      0.79    692761

    accuracy                           0.67    810732
   macro avg       0.56      0.60      0.55    810732
weighted avg       0.79      0.67      0.72    810732

Accuracy: 0.673934173068289
90-100%
              precision    recall  f1-score   support

           0       0.21      0.49      0.29     88944
           1       0.90      0.71      0.79    577496

    accuracy                           0.68    666440
   macro avg       0.55      0.60      0.54    666440
weighted avg       0.81      0.68      0.73    666440

Accuracy: 0.6813111457895684

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.62      0.96      0.76  22531902
           1       0.82      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.72      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6486366130049511
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      0.99      0.95  11439888
           1       0.47      0.06      0.10   1271288

    accuracy                           0.90  12711176
   macro avg       0.69      0.52      0.52  12711176
weighted avg       0.86      0.90      0.86  12711176

Accuracy: 0.8992405580726756
10-20%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73   5044441
           1       0.68      0.13      0.22   3812372

    accuracy                           0.60   8856813
   macro avg       0.64      0.54      0.48   8856813
weighted avg       0.63      0.60      0.51   8856813

Accuracy: 0.5995083107207977
20-40%
              precision    recall  f1-score   support

           0       0.39      0.90      0.54   2995598
           1       0.81      0.23      0.36   5583215

    accuracy                           0.47   8578813
   macro avg       0.60      0.57      0.45   8578813
weighted avg       0.66      0.47      0.43   8578813

Accuracy: 0.46689093234693424
40-80%
              precision    recall  f1-score   support

           0       0.24      0.84      0.38   1295061
           1       0.89      0.32      0.47   5001564

    accuracy                           0.43   6296625
   macro avg       0.56      0.58      0.42   6296625
weighted avg       0.75      0.43      0.45   6296625

Accuracy: 0.42760097671371566
80-90%
              precision    recall  f1-score   support

           0       0.18      0.82      0.29    117971
           1       0.92      0.35      0.50    692761

    accuracy                           0.42    810732
   macro avg       0.55      0.58      0.40    810732
weighted avg       0.81      0.42      0.47    810732

Accuracy: 0.41565770192862744
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.36      0.51    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.48    666440

Accuracy: 0.4158483884520737

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.7255593987484213
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7019329743318685
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055468
           1       0.68      0.87      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.766106501794918
0-1%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  27764588
           1       0.63      0.83      0.72  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.74  44863141
weighted avg       0.78      0.75      0.75  44863141

Accuracy: 0.7469286869593014
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076

              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28052152
           1       0.68      0.87      0.76  21263340

    accuracy                           0.76  49315492
   macro avg       0.77      0.78      0.76  49315492
weighted avg       0.79      0.76      0.76  49315492

Accuracy: 0.7639456177381339
10-20%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28054607
           1       0.68      0.87      0.76  21520956

    accuracy                           0.77  49575563
   macro avg       0.78      0.78      0.77  49575563
weighted avg       0.79      0.77      0.77  49575563

Accuracy: 0.7651344272177

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055266
           1       0.68      0.87      0.76  21651524

    accuracy                           0.77  49706790
   macro avg       0.78      0.78      0.77  49706790
weighted avg       0.79      0.77      0.77  49706790

Accuracy: 0.7657412196603322

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.87      0.69      0.77  28055435
           1       0.68      0.87      0.76  21716758

    accuracy                           0.77  49772193
   macro avg       0.78      0.78      0.77  49772193
weighted avg       0.79      0.77      0.77  49772193

Accuracy: 0.7660456512334106

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.83      0.76      0.79  28055468
           1       0.72      0.80      0.76  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.78  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.776786706224006
0-1%
              precision    recall  f1-score   support

           0       0.83      0.77      0.80  27764588
           1       0.66      0.74      0.70  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.76      0.76  44863141

Accuracy: 0.7587836972894965
1-10%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.59      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9353824530006731
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.81  28055468
           1       0.78      0.66      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.76      0.76  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691218105559428
0-1%
              precision    recall  f1-score   support

           0       0.76      0.86      0.81  27764588
           1       0.72      0.57      0.64  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.72      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.750495155923211
1-10%
              precision    recall  f1-score   support

           0       0.13      0.01      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.53      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9332572836238653
10-20%
              precision    recall  f1-score   support

           0       0.17      0.02      0.03      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.58      0.51      0.51    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9899181377393097
20-40%
              precision    recall  f1-score   support

           0       0.20      0.04      0.06       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.60      0.52      0.53    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9944447407926722
40-80%
              precision    recall  f1-score   support

           0       0.19      0.08      0.11       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.59      0.54      0.55     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9967585584759109
80-90%
              precision    recall  f1-score   support

           0       0.12      0.07      0.09        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.56      0.53      0.54      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9971567831031681
90-100%
              precision    recall  f1-score   support

           0       0.44      0.22      0.30        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.72      0.61      0.65      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9966690042075736

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.96      0.78  28055468
           1       0.87      0.36      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.66      0.64  49785283
weighted avg       0.75      0.70      0.66  49785283

Accuracy: 0.6952265993948452
0-1%
              precision    recall  f1-score   support

           0       0.66      0.97      0.79  27764588
           1       0.80      0.21      0.33  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.59      0.56  44863141
weighted avg       0.71      0.68      0.61  44863141

Accuracy: 0.6779228409352791
1-10%
              precision    recall  f1-score   support

           0       0.08      0.15      0.11    287564
           1       0.94      0.89      0.91   4164787

    accuracy                           0.84   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.84      0.86   4452351

Accuracy: 0.8425939464341423
10-20%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03      2455
           1       0.99      0.96      0.97    257616

    accuracy                           0.95    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.95      0.96    260071

Accuracy: 0.9470183142295757
20-40%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02       659
           1       1.00      0.96      0.98    130568

    accuracy                           0.95    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.95      0.97    131227

Accuracy: 0.954795888041333
40-80%
              precision    recall  f1-score   support

           0       0.01      0.14      0.02       169
           1       1.00      0.96      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.55      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9576472027277037
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9601949634443542
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.51      5704
weighted avg       0.99      0.96      0.98      5704

Accuracy: 0.9588008415147266

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.49      0.64  26119367
           1       0.61      0.95      0.74  21615229

    accuracy                           0.70  47734596
   macro avg       0.77      0.72      0.69  47734596
weighted avg       0.78      0.70      0.69  47734596

Accuracy: 0.702004831045391
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.92  12053010
           1       0.15      0.51      0.23    508421

    accuracy                           0.86  12561431
   macro avg       0.56      0.69      0.58  12561431
weighted avg       0.94      0.86      0.90  12561431

Accuracy: 0.8612059406288981
1-10%
              precision    recall  f1-score   support

           0       0.76      0.17      0.28  13368467
           1       0.55      0.95      0.70  14466820

    accuracy                           0.58  27835287
   macro avg       0.66      0.56      0.49  27835287
weighted avg       0.65      0.58      0.50  27835287

Accuracy: 0.5768442409090303
10-20%
              precision    recall  f1-score   support

           0       0.18      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.53      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8696383807389995
20-40%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.51      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.930020260511173
40-80%
              precision    recall  f1-score   support

           0       0.04      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.50      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9622577188611938
80-90%
              precision    recall  f1-score   support

           0       0.25      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.61      0.50      0.49    124036
weighted avg       0.96      0.98      0.96    124036

Accuracy: 0.9750475668354349
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9765581769706726

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571

              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.66      0.87      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.741057764477571
0-1%
              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877

              precision    recall  f1-score   support

           0       0.97      0.95      0.96  12053010
           1       0.19      0.26      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.61      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.9262549784335877
1-10%
              precision    recall  f1-score   support

           0       0.86      0.65      0.74  25421477
           1       0.58      0.82      0.68  14975241

    accuracy                           0.71  40396718
   macro avg       0.72      0.73      0.71  40396718
weighted avg       0.75      0.71      0.72  40396718

Accuracy: 0.7133189631890393

              precision    recall  f1-score   support

           0       0.68      0.38      0.49  13368467
           1       0.59      0.84      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.64      0.62      0.60  27835287

Accuracy: 0.6172257896963663
10-20%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  25924842
           1       0.63      0.85      0.72  18362515

    accuracy                           0.73  44287357
   macro avg       0.74      0.74      0.73  44287357
weighted avg       0.76      0.73      0.73  44287357

Accuracy: 0.7258026483720851

              precision    recall  f1-score   support

           0       0.17      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8554214359132266
20-40%


              precision    recall  f1-score   support

           0       0.09      0.01      0.02    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9221748013256447
40-80%
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26113946
           1       0.66      0.87      0.75  21397219

    accuracy                           0.74  47511165
   macro avg       0.76      0.75      0.74  47511165
weighted avg       0.77      0.74      0.74  47511165

Accuracy: 0.7399666162679867

              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.958236541443808
80-90%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9721371214808604
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9742642990090045

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.80      0.72      0.76  26119367
           1       0.70      0.78      0.74  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7475000731125911
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.15      0.18    508421

    accuracy                           0.94  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.94      0.94  12561431

Accuracy: 0.9442128846625835
1-10%
              precision    recall  f1-score   support

           0       0.63      0.52      0.57  13368467
           1       0.62      0.72      0.67  14466820

    accuracy                           0.63  27835287
   macro avg       0.63      0.62      0.62  27835287
weighted avg       0.63      0.63      0.62  27835287

Accuracy: 0.6252882537191012
10-20%
              precision    recall  f1-score   support

           0       0.16      0.07      0.10    503365
           1       0.87      0.94      0.91   3387274

    accuracy                           0.83   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.83      0.80   3890639

Accuracy: 0.8298091907267675
20-40%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.91   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.91      0.89   2117913

Accuracy: 0.9068040094187061
40-80%
              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.99      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9499708380994579
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9668725208810346
90-100%
              precision    recall  f1-score   support

           0       0.03      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.969425021379345

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.84      0.76  26119367
           1       0.74      0.54      0.62  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.69  47734596
weighted avg       0.71      0.70      0.70  47734596

Accuracy: 0.7036790465347188
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.06      0.09    508421

    accuracy                           0.95  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9548506854035977
1-10%
              precision    recall  f1-score   support

           0       0.56      0.73      0.63  13368467
           1       0.65      0.48      0.55  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.596758208384918
10-20%
              precision    recall  f1-score   support

           0       0.15      0.36      0.21    503365
           1       0.88      0.69      0.78   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.49   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6513580416995769
20-40%
              precision    recall  f1-score   support

           0       0.08      0.33      0.13    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.6995150414582657
40-80%
              precision    recall  f1-score   support

           0       0.04      0.31      0.08     41616
           1       0.96      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.50      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7270391854561238
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7368344674126867
90-100%
              precision    recall  f1-score   support

           0       0.03      0.28      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.52      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7392122340157956

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.81      0.02      0.04  21615229

    accuracy                           0.55  47734596
   macro avg       0.68      0.51      0.38  47734596
weighted avg       0.67      0.55      0.41  47734596

Accuracy: 0.5548408118924899
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.40      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.68      0.50      0.49  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595222073026553
1-10%
              precision    recall  f1-score   support

           0       0.48      0.99      0.65  13368467
           1       0.71      0.01      0.03  14466820

    accuracy                           0.48  27835287
   macro avg       0.59      0.50      0.34  27835287
weighted avg       0.60      0.48      0.33  27835287

Accuracy: 0.48464120380723935
10-20%
              precision    recall  f1-score   support

           0       0.13      0.97      0.23    503365
           1       0.88      0.04      0.07   3387274

    accuracy                           0.16   3890639
   macro avg       0.51      0.50      0.15   3890639
weighted avg       0.78      0.16      0.09   3890639

Accuracy: 0.15661463322605876
20-40%
              precision    recall  f1-score   support

           0       0.07      0.96      0.13    147488
           1       0.94      0.04      0.08   1970425

    accuracy                           0.11   2117913
   macro avg       0.50      0.50      0.11   2117913
weighted avg       0.88      0.11      0.09   2117913

Accuracy: 0.1071672915742998
40-80%
              precision    recall  f1-score   support

           0       0.04      0.96      0.07     41616
           1       0.97      0.05      0.09   1064279

    accuracy                           0.08   1105895
   macro avg       0.50      0.50      0.08   1105895
weighted avg       0.93      0.08      0.09   1105895

Accuracy: 0.08127173013712875
80-90%
              precision    recall  f1-score   support

           0       0.03      0.96      0.05      3093
           1       0.98      0.05      0.09    120943

    accuracy                           0.07    124036
   macro avg       0.50      0.50      0.07    124036
weighted avg       0.96      0.07      0.09    124036

Accuracy: 0.07212422200006449
90-100%
              precision    recall  f1-score   support

           0       0.02      0.96      0.05      2328
           1       0.98      0.05      0.09     97067

    accuracy                           0.07     99395
   macro avg       0.50      0.50      0.07     99395
weighted avg       0.96      0.07      0.09     99395

Accuracy: 0.06918859097540117

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.38      0.53  24893266
           1       0.56      0.96      0.70  20563095

    accuracy                           0.64  45456361
   macro avg       0.73      0.67      0.62  45456361
weighted avg       0.75      0.64      0.61  45456361

Accuracy: 0.6375908973443782
0-1%
              precision    recall  f1-score   support

           0       1.00      0.92      0.96   4873589
           1       0.01      0.77      0.02      3872

    accuracy                           0.92   4877461
   macro avg       0.50      0.84      0.49   4877461
weighted avg       1.00      0.92      0.96   4877461

Accuracy: 0.9202041800026695
1-10%
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  16949103
           1       0.38      0.93      0.54   8016772

    accuracy                           0.49  24965875
   macro avg       0.64      0.60      0.48  24965875
weighted avg       0.73      0.49      0.46  24965875

Accuracy: 0.48612496057117965
10-20%
              precision    recall  f1-score   support

           0       0.41      0.06      0.11   2057494
           1       0.73      0.97      0.83   5461156

    accuracy                           0.72   7518650
   macro avg       0.57      0.51      0.47   7518650
weighted avg       0.64      0.72      0.63   7518650

Accuracy: 0.7182914485978201
20-40%
              precision    recall  f1-score   support

           0       0.24      0.04      0.07    744974
           1       0.85      0.97      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.54      0.51      0.49   4805513
weighted avg       0.75      0.83      0.78   4805513

Accuracy: 0.8301423802203843
40-80%
              precision    recall  f1-score   support

           0       0.13      0.03      0.05    235909
           1       0.91      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.52      0.51      0.50   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8972244569589702
80-90%
              precision    recall  f1-score   support

           0       0.09      0.03      0.05     18577
           1       0.94      0.98      0.96    296772

    accuracy                           0.93    315349
   macro avg       0.52      0.51      0.50    315349
weighted avg       0.89      0.93      0.91    315349

Accuracy: 0.9250608056470767
90-100%
              precision    recall  f1-score   support

           0       0.07      0.03      0.04     13620
           1       0.95      0.98      0.96    240209

    accuracy                           0.93    253829
   macro avg       0.51      0.50      0.50    253829
weighted avg       0.90      0.93      0.91    253829

Accuracy: 0.9299213249865067

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581391062078

              precision    recall  f1-score   support

           0       0.81      0.54      0.65  24893266
           1       0.60      0.84      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.69      0.68  45456361
weighted avg       0.72      0.68      0.68  45456361

Accuracy: 0.6798581611053292
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.65      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9682306019463816
1-10%
              precision    recall  f1-score   support

           0       0.85      0.48      0.61  16949103
           1       0.43      0.82      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5885483284683594

              precision    recall  f1-score   support

           0       0.90      0.59      0.71  21822692
           1       0.42      0.82      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.63  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6506019300255172
10-20%
              precision    recall  f1-score   support

           0       0.86      0.56      0.68  23880186
           1       0.52      0.84      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.69      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.6582850012309303

              precision    recall  f1-score   support

           0       0.39      0.25      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6887809646678592
20-40%
              precision    recall  f1-score   support

           0       0.83      0.55      0.66  24625160
           1       0.57      0.84      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6699703959203271

              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.760822205662538
40-80%
              precision    recall  f1-score   support

           0       0.13      0.22      0.16    235909
           1       0.92      0.86      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.52      0.54      0.53   2719684
weighted avg       0.85      0.80      0.83   2719684

Accuracy: 0.8035352636556305
80-90%
              precision    recall  f1-score   support

           0       0.09      0.22      0.12     18577
           1       0.95      0.86      0.90    296772

    accuracy                           0.82    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.82      0.85    315349

Accuracy: 0.8196188984268223
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.12     13620
           1       0.95      0.86      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.90      0.82      0.86    253829

Accuracy: 0.8236805093192662

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.77      0.65      0.70  24893266
           1       0.64      0.76      0.70  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.71      0.70      0.70  45456361

Accuracy: 0.699147870635751
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.54      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858715425915245
1-10%
              precision    recall  f1-score   support

           0       0.83      0.60      0.70  16949103
           1       0.47      0.73      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.63  24965875
weighted avg       0.71      0.65      0.66  24965875

Accuracy: 0.6461317298111923
10-20%
              precision    recall  f1-score   support

           0       0.38      0.37      0.38   2057494
           1       0.77      0.77      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6636123506214546
20-40%
              precision    recall  f1-score   support

           0       0.22      0.35      0.27    744974
           1       0.87      0.78      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.55   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7111607023017106
40-80%
              precision    recall  f1-score   support

           0       0.13      0.34      0.19    235909
           1       0.93      0.78      0.84   2483775

    accuracy                           0.74   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.74      0.79   2719684

Accuracy: 0.7381673753274277
80-90%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14     18577
           1       0.95      0.77      0.85    296772

    accuracy                           0.75    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.75      0.81    315349

Accuracy: 0.747584422338425
90-100%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13     13620
           1       0.95      0.77      0.85    240209

    accuracy                           0.75    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.75      0.82    253829

Accuracy: 0.751021356897754

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5475752887478168
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.999198558430298
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788336879840983
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.18      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.23      0.50      0.21   7518650
weighted avg       0.21      0.27      0.12   7518650

Accuracy: 0.2735976538341325
20-40%
              precision    recall  f1-score   support

           0       0.15      1.00      0.27    744974
           1       0.14      0.00      0.00   4060539

    accuracy                           0.15   4805513
   macro avg       0.15      0.50      0.13   4805513
weighted avg       0.14      0.15      0.04   4805513

Accuracy: 0.1549582739657556
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.06      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.06      0.09      0.01   2719684

Accuracy: 0.08665161099598336
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.03      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.05      0.50      0.06    315349
weighted avg       0.04      0.06      0.01    315349

Accuracy: 0.05882371594645932
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.07      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.06      0.50      0.05    253829
weighted avg       0.07      0.05      0.01    253829

Accuracy: 0.053567559262338034

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476166910941244
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992051192208405
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.10      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788771873607474
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.20      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.24      0.50      0.21   7518650
weighted avg       0.22      0.27      0.12   7518650

Accuracy: 0.27363861863499434
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.11      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.13      0.50      0.13   4805513
weighted avg       0.12      0.16      0.04   4805513

Accuracy: 0.15500634375559905
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.05      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.07      0.50      0.08   2719684
weighted avg       0.05      0.09      0.01   2719684

Accuracy: 0.08672110436359519
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05888713774262801
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.11      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.08      0.50      0.05    253829
weighted avg       0.11      0.05      0.01    253829

Accuracy: 0.05363059382497666

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.04      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.29      0.50      0.35  45456361
weighted avg       0.32      0.55      0.39  45456361

Accuracy: 0.5476294725836061
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890365348701
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.14      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.21      0.50      0.21   7518650
weighted avg       0.18      0.27      0.12   7518650

Accuracy: 0.2736513868846136
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502423986783512
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674022423193282
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058906164281478615
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.36      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6007910242454396
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9673096563288105
1-10%
              precision    recall  f1-score   support

           0       0.97      0.42      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.4709554804370579
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.45   8856813

Accuracy: 0.5127644673089519
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6608404915691717
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7649642467194727
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.20    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8088517537237953
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8173473981153592

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612

              precision    recall  f1-score   support

           0       0.80      0.63      0.70  22531902
           1       0.61      0.79      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.69  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.695003303471612
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9992825801823098
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7581716092818439

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.59  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7287705716607181
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.53   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7012536731137675

              precision    recall  f1-score   support

           0       0.75      0.48      0.58   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.60   8856813

Accuracy: 0.6096048318960782
20-40%
              precision    recall  f1-score   support

           0       0.86      0.64      0.73  21029926
           1       0.53      0.79      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6908608222009534

              precision    recall  f1-score   support

           0       0.52      0.42      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628544065478522
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.79      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.6937060111399272

              precision    recall  f1-score   support

           0       0.33      0.40      0.36   1295061
           1       0.84      0.79      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7080285073352788
80-90%
              precision    recall  f1-score   support

           0       0.24      0.40      0.30    117971
           1       0.88      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7266457966380999
90-100%
              precision    recall  f1-score   support

           0       0.22      0.40      0.28     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7304678590720846

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.77      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7205002822607349
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.74      0.66  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8353920203763995
10-20%
              precision    recall  f1-score   support

           0       0.71      0.66      0.69   5044441
           1       0.59      0.65      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6560426419751665
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.640351060222434
40-80%
              precision    recall  f1-score   support

           0       0.30      0.58      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6391579616064161
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6372303054523566
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.76    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6373176880139247

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.40      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6929483054703149
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9030749003868721
10-20%
              precision    recall  f1-score   support

           0       0.65      0.87      0.75   5044441
           1       0.69      0.39      0.50   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.62   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6643434833726307
20-40%
              precision    recall  f1-score   support

           0       0.42      0.81      0.56   2995598
           1       0.80      0.41      0.54   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5502790421005797
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.48   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.48      0.52   6296625

Accuracy: 0.4839400472475334
80-90%
              precision    recall  f1-score   support

           0       0.18      0.77      0.29    117971
           1       0.91      0.40      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.58      0.42    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4559003468470469
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.40      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.4508012724326271

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_rtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  28055468
           1       0.69      0.85      0.76  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.78      0.77  49785283
weighted avg       0.79      0.77      0.77  49785283

Accuracy: 0.770221573311133
0-1%
              precision    recall  f1-score   support

           0       0.86      0.71      0.78  27764588
           1       0.64      0.81      0.71  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.76      0.75  44863141
weighted avg       0.77      0.75      0.76  44863141

Accuracy: 0.7514952419403715
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658449184671703

              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.64      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7658449385534275
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.746760687130667

              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.54      0.62  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7467607094206801
1-10%
              precision    recall  f1-score   support

           0       0.14      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.54      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9341803914381414
10-20%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28054607
           1       0.78      0.63      0.70  21520956

    accuracy                           0.76  49575563
   macro avg       0.77      0.75      0.75  49575563
weighted avg       0.77      0.76      0.76  49575563

Accuracy: 0.7648714952566449

              precision    recall  f1-score   support

           0       0.43      0.01      0.02      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.71      0.51      0.51    260071
weighted avg       0.99      0.99      0.99    260071

Accuracy: 0.9905218190417232
20-40%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055266
           1       0.79      0.63      0.70  21651524

    accuracy                           0.77  49706790
   macro avg       0.77      0.75      0.75  49706790
weighted avg       0.77      0.77      0.76  49706790

Accuracy: 0.7654791025531924

              precision    recall  f1-score   support

           0       0.62      0.02      0.05       659
           1       1.00      1.00      1.00    130568

    accuracy                           1.00    131227
   macro avg       0.81      0.51      0.52    131227
weighted avg       0.99      1.00      0.99    131227

Accuracy: 0.9950238899007064
40-80%
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055435
           1       0.79      0.64      0.70  21716758

    accuracy                           0.77  49772193
   macro avg       0.77      0.75      0.75  49772193
weighted avg       0.77      0.77      0.76  49772193

Accuracy: 0.7657839388350841

              precision    recall  f1-score   support

           0       0.62      0.05      0.09       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.81      0.52      0.54     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9974618901273642
80-90%
              precision    recall  f1-score   support

           0       1.00      0.07      0.12        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       1.00      0.53      0.56      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9981045220687788
90-100%
              precision    recall  f1-score   support

           0       1.00      0.11      0.20        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       1.00      0.56      0.60      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9971949509116409

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.94      0.79  28055468
           1       0.85      0.43      0.57  21729815

    accuracy                           0.72  49785283
   macro avg       0.77      0.68      0.68  49785283
weighted avg       0.76      0.72      0.69  49785283

Accuracy: 0.7173512702539021
0-1%
              precision    recall  f1-score   support

           0       0.68      0.95      0.80  27764588
           1       0.78      0.28      0.41  17098553

    accuracy                           0.70  44863141
   macro avg       0.73      0.62      0.60  44863141
weighted avg       0.72      0.70      0.65  44863141

Accuracy: 0.6964120278604656
1-10%
              precision    recall  f1-score   support

           0       0.09      0.06      0.07    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9002282165085367
10-20%
              precision    recall  f1-score   support

           0       0.03      0.03      0.03      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.51      0.51      0.51    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9807821710225285
20-40%
              precision    recall  f1-score   support

           0       0.03      0.05      0.03       659
           1       1.00      0.99      0.99    130568

    accuracy                           0.99    131227
   macro avg       0.51      0.52      0.51    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9866033666852096
40-80%
              precision    recall  f1-score   support

           0       0.03      0.09      0.04       169
           1       1.00      0.99      0.99     65234

    accuracy                           0.99     65403
   macro avg       0.51      0.54      0.52     65403
weighted avg       1.00      0.99      0.99     65403

Accuracy: 0.9887619833952571
80-90%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03        15
           1       1.00      0.99      1.00      7371

    accuracy                           0.99      7386
   macro avg       0.51      0.53      0.51      7386
weighted avg       1.00      0.99      0.99      7386

Accuracy: 0.991334958028703
90-100%
              precision    recall  f1-score   support

           0       0.08      0.22      0.11        18
           1       1.00      0.99      0.99      5686

    accuracy                           0.99      5704
   macro avg       0.54      0.61      0.55      5704
weighted avg       0.99      0.99      0.99      5704

Accuracy: 0.9889551192145862

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  28055468
           1       0.94      0.09      0.17  21729815

    accuracy                           0.60  49785283
   macro avg       0.76      0.54      0.45  49785283
weighted avg       0.74      0.60      0.49  49785283

Accuracy: 0.6010868111365361
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.77  27764588
           1       0.84      0.02      0.03  17098553

    accuracy                           0.62  44863141
   macro avg       0.73      0.51      0.40  44863141
weighted avg       0.70      0.62      0.49  44863141

Accuracy: 0.6234895144769288
1-10%
              precision    recall  f1-score   support

           0       0.07      0.73      0.13    287564
           1       0.95      0.35      0.51   4164787

    accuracy                           0.37   4452351
   macro avg       0.51      0.54      0.32   4452351
weighted avg       0.89      0.37      0.48   4452351

Accuracy: 0.37079938216910574
10-20%
              precision    recall  f1-score   support

           0       0.01      0.38      0.02      2455
           1       0.99      0.63      0.77    257616

    accuracy                           0.63    260071
   macro avg       0.50      0.51      0.39    260071
weighted avg       0.98      0.63      0.76    260071

Accuracy: 0.6280669509480103
20-40%
              precision    recall  f1-score   support

           0       0.01      0.38      0.01       659
           1       1.00      0.66      0.79    130568

    accuracy                           0.66    131227
   macro avg       0.50      0.52      0.40    131227
weighted avg       0.99      0.66      0.79    131227

Accuracy: 0.6588887957508744
40-80%
              precision    recall  f1-score   support

           0       0.00      0.39      0.01       169
           1       1.00      0.67      0.80     65234

    accuracy                           0.67     65403
   macro avg       0.50      0.53      0.41     65403
weighted avg       1.00      0.67      0.80     65403

Accuracy: 0.6728437533446477
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.67      0.80      7371

    accuracy                           0.67      7386
   macro avg       0.50      0.50      0.40      7386
weighted avg       1.00      0.67      0.80      7386

Accuracy: 0.6665312753858651
90-100%
              precision    recall  f1-score   support

           0       0.00      0.44      0.01        18
           1       1.00      0.69      0.81      5686

    accuracy                           0.69      5704
   macro avg       0.50      0.57      0.41      5704
weighted avg       0.99      0.69      0.81      5704

Accuracy: 0.6863604488078542

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.64      0.73  26119367
           1       0.67      0.86      0.75  21615229

    accuracy                           0.74  47734596
   macro avg       0.76      0.75      0.74  47734596
weighted avg       0.77      0.74      0.74  47734596

Accuracy: 0.7421083442289949
0-1%
              precision    recall  f1-score   support

           0       0.97      0.96      0.96  12053010
           1       0.19      0.24      0.22    508421

    accuracy                           0.93  12561431
   macro avg       0.58      0.60      0.59  12561431
weighted avg       0.94      0.93      0.93  12561431

Accuracy: 0.928404733505283
1-10%
              precision    recall  f1-score   support

           0       0.68      0.39      0.50  13368467
           1       0.60      0.83      0.69  14466820

    accuracy                           0.62  27835287
   macro avg       0.64      0.61      0.59  27835287
weighted avg       0.63      0.62      0.60  27835287

Accuracy: 0.6183452680046015
10-20%
              precision    recall  f1-score   support

           0       0.17      0.03      0.06    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.52      0.50      0.49   3890639
weighted avg       0.78      0.85      0.81   3890639

Accuracy: 0.8539378749866025
20-40%
              precision    recall  f1-score   support

           0       0.09      0.01      0.03    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9213565429741448
40-80%
              precision    recall  f1-score   support

           0       0.05      0.01      0.01     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9578160675290149
80-90%
              precision    recall  f1-score   support

           0       0.04      0.01      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9719033183914347
90-100%
              precision    recall  f1-score   support

           0       0.03      0.00      0.01      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9740932642487047

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7003930231231034

              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26119367
           1       0.74      0.53      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.69      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.7003930231231034
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.09    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9552381412595428
1-10%
              precision    recall  f1-score   support

           0       0.73      0.86      0.79  25421477
           1       0.65      0.45      0.53  14975241

    accuracy                           0.71  40396718
   macro avg       0.69      0.65      0.66  40396718
weighted avg       0.70      0.71      0.69  40396718

Accuracy: 0.7061913792105586

              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.65      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5938022841294937
10-20%
              precision    recall  f1-score   support

           0       0.70      0.85      0.77  25924842
           1       0.70      0.49      0.58  18362515

    accuracy                           0.70  44287357
   macro avg       0.70      0.67      0.67  44287357
weighted avg       0.70      0.70      0.69  44287357

Accuracy: 0.7004582820329514

              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.68      0.77   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.70   3890639

Accuracy: 0.6409312197816348
20-40%
              precision    recall  f1-score   support

           0       0.69      0.85      0.76  26072330
           1       0.72      0.51      0.60  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.68      0.68  46405270
weighted avg       0.70      0.70      0.69  46405270

Accuracy: 0.6999049892393687

              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.71      0.81   1970425

    accuracy                           0.69   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.69      0.76   2117913

Accuracy: 0.6883351676863025
40-80%
              precision    recall  f1-score   support

           0       0.68      0.85      0.76  26113946
           1       0.73      0.52      0.61  21397219

    accuracy                           0.70  47511165
   macro avg       0.71      0.68      0.68  47511165
weighted avg       0.71      0.70      0.69  47511165

Accuracy: 0.700270220694441

              precision    recall  f1-score   support

           0       0.04      0.32      0.08     41616
           1       0.96      0.73      0.83   1064279

    accuracy                           0.72   1105895
   macro avg       0.50      0.53      0.45   1105895
weighted avg       0.93      0.72      0.80   1105895

Accuracy: 0.7155959652589079
80-90%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.53      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7254426134348092
90-100%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.52      0.44     99395
weighted avg       0.96      0.73      0.82     99395

Accuracy: 0.7278233311534785

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26119367
           1       0.77      0.19      0.30  21615229

    accuracy                           0.61  47734596
   macro avg       0.68      0.57      0.51  47734596
weighted avg       0.67      0.61      0.53  47734596

Accuracy: 0.6062791439567227
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.25      0.01      0.01    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9591016342007531
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.15      0.24  14466820

    accuracy                           0.52  27835287
   macro avg       0.59      0.53      0.44  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5191409379037478
10-20%
              precision    recall  f1-score   support

           0       0.13      0.75      0.23    503365
           1       0.88      0.27      0.42   3387274

    accuracy                           0.33   3890639
   macro avg       0.51      0.51      0.32   3890639
weighted avg       0.78      0.33      0.39   3890639

Accuracy: 0.3339158426160844
20-40%
              precision    recall  f1-score   support

           0       0.07      0.72      0.13    147488
           1       0.94      0.30      0.46   1970425

    accuracy                           0.33   2117913
   macro avg       0.50      0.51      0.29   2117913
weighted avg       0.88      0.33      0.43   2117913

Accuracy: 0.3311547735907943
40-80%
              precision    recall  f1-score   support

           0       0.04      0.71      0.07     41616
           1       0.97      0.32      0.48   1064279

    accuracy                           0.33   1105895
   macro avg       0.50      0.51      0.28   1105895
weighted avg       0.93      0.33      0.46   1105895

Accuracy: 0.33224763652968864
80-90%
              precision    recall  f1-score   support

           0       0.03      0.71      0.05      3093
           1       0.98      0.32      0.49    120943

    accuracy                           0.33    124036
   macro avg       0.50      0.52      0.27    124036
weighted avg       0.95      0.33      0.48    124036

Accuracy: 0.33415298784223935
90-100%
              precision    recall  f1-score   support

           0       0.02      0.69      0.05      2328
           1       0.98      0.32      0.49     97067

    accuracy                           0.33     99395
   macro avg       0.50      0.51      0.27     99395
weighted avg       0.96      0.33      0.48     99395

Accuracy: 0.3318376175863977

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471747367464889
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.48026593007645296
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.1293687232354377
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.06962656161985879
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.0376229208017036
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024920184462575382
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.02341164042456864

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.80      0.56      0.66  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.71      0.70      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6820631550334616
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.64      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9698724397796312
1-10%
              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5949319621283051
10-20%
              precision    recall  f1-score   support

           0       0.39      0.26      0.31   2057494
           1       0.75      0.85      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.56   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6864929209366043
20-40%
              precision    recall  f1-score   support

           0       0.23      0.24      0.23    744974
           1       0.86      0.85      0.85   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.7555006094042405
40-80%
              precision    recall  f1-score   support

           0       0.13      0.24      0.17    235909
           1       0.92      0.85      0.88   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.7962766997930641
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.89    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.54      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.8115453037745481
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.54      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8154623782152551

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476132152329571

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.12      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476132152329571
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992051192208405
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.11      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.50      0.68      0.55  24965875

Accuracy: 0.6788739028774277

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.11      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.42      0.50      0.42  29843336
weighted avg       0.56      0.73      0.62  29843336

Accuracy: 0.7312274003147637
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.13      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.38      0.50      0.39  37361986
weighted avg       0.45      0.64      0.50  37361986

Accuracy: 0.6391422822116576

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.18      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.23      0.50      0.21   7518650
weighted avg       0.21      0.27      0.12   7518650

Accuracy: 0.2736342295491877
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.13      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.36      0.50      0.37  42167499
weighted avg       0.39      0.58      0.43  42167499

Accuracy: 0.5839684255402484

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.13      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.14      0.50      0.13   4805513
weighted avg       0.14      0.16      0.04   4805513

Accuracy: 0.15500176568037585
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.04      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.06      0.50      0.08   2719684
weighted avg       0.04      0.09      0.01   2719684

Accuracy: 0.08671448594763215

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.12      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.34      0.50      0.36  44887183
weighted avg       0.36      0.55      0.39  44887183

Accuracy: 0.553840146306352
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05888396665281957
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.15      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.10      0.50      0.05    253829
weighted avg       0.15      0.05      0.01    253829

Accuracy: 0.053622714504646826

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.10      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.33      0.50      0.35  45456361
weighted avg       0.35      0.55      0.39  45456361

Accuracy: 0.5476261507162881
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992059393196583
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.10      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.39      0.50      0.40  24965875
weighted avg       0.49      0.68      0.55  24965875

Accuracy: 0.6788869206466828
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.25      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.26      0.50      0.21   7518650
weighted avg       0.26      0.27      0.12   7518650

Accuracy: 0.2736493918456106
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.03      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.09      0.50      0.13   4805513
weighted avg       0.05      0.16      0.04   4805513

Accuracy: 0.1550186213209703
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08673507657507269
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05889665101205331
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05363847314530649

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476295825792126
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.6788906056767487
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736512538820134
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502423986783512
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674022423193282
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.058906164281478615
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7087969885837554
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678635713957545
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299615900211509
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.6623935036234033
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6927816091954023
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7044929767173369
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.7071454294460117

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159759276497204

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905730044175299
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174393463652633

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6587764695946499
20-40%
              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7404618844658803

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5330247902594449
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936507647401948

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45800663053619994
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4261025838378157
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.4205344817237861

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5739893781188722
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.9004659364326322
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5722523440429419
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.35405970499648376
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.09   6296625

Accuracy: 0.212228773350803
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15281005313716492
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.83      0.14      0.05    666440

Accuracy: 0.14069833743472782

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_rtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.90      0.64      0.75  28055468
           1       0.66      0.90      0.76  21729815

    accuracy                           0.75  49785283
   macro avg       0.78      0.77      0.75  49785283
weighted avg       0.79      0.75      0.75  49785283

Accuracy: 0.7541967773890127
0-1%
              precision    recall  f1-score   support

           0       0.90      0.65      0.75  27764588
           1       0.60      0.88      0.72  17098553

    accuracy                           0.73  44863141
   macro avg       0.75      0.76      0.73  44863141
weighted avg       0.78      0.73      0.74  44863141

Accuracy: 0.7337122917898237
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774621467954697

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055468
           1       0.74      0.76      0.75  21729815

    accuracy                           0.78  49785283
   macro avg       0.77      0.78      0.77  49785283
weighted avg       0.78      0.78      0.78  49785283

Accuracy: 0.7774621467954697
0-1%
              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595344918002955

              precision    recall  f1-score   support

           0       0.81      0.80      0.80  27764588
           1       0.68      0.70      0.69  17098553

    accuracy                           0.76  44863141
   macro avg       0.75      0.75      0.75  44863141
weighted avg       0.76      0.76      0.76  44863141

Accuracy: 0.7595344918002955
1-10%
              precision    recall  f1-score   support

           0       0.21      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.57      0.50      0.48   4452351
weighted avg       0.89      0.94      0.90   4452351

Accuracy: 0.9353698753759531

              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28052152
           1       0.73      0.76      0.74  21263340

    accuracy                           0.78  49315492
   macro avg       0.77      0.77      0.77  49315492
weighted avg       0.78      0.78      0.78  49315492

Accuracy: 0.7754094392893819
10-20%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28054607
           1       0.73      0.76      0.75  21520956

    accuracy                           0.78  49575563
   macro avg       0.77      0.77      0.77  49575563
weighted avg       0.78      0.78      0.78  49575563

Accuracy: 0.7765381101168735

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055266
           1       0.74      0.76      0.75  21651524

    accuracy                           0.78  49706790
   macro avg       0.77      0.78      0.77  49706790
weighted avg       0.78      0.78      0.78  49706790

Accuracy: 0.777114796590164

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.81      0.79      0.80  28055435
           1       0.74      0.76      0.75  21716758

    accuracy                           0.78  49772193
   macro avg       0.77      0.78      0.77  49772193
weighted avg       0.78      0.78      0.78  49772193

Accuracy: 0.7774042827488031

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.87      0.81  28055468
           1       0.79      0.63      0.70  21729815

    accuracy                           0.76  49785283
   macro avg       0.77      0.75      0.75  49785283
weighted avg       0.77      0.76      0.76  49785283

Accuracy: 0.7645455987465212
0-1%
              precision    recall  f1-score   support

           0       0.75      0.88      0.81  27764588
           1       0.73      0.53      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.70      0.71  44863141
weighted avg       0.74      0.75      0.74  44863141

Accuracy: 0.7454210350541439
1-10%
              precision    recall  f1-score   support

           0       0.13      0.01      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.53      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9331890050896706
10-20%
              precision    recall  f1-score   support

           0       0.22      0.02      0.03      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.61      0.51      0.51    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9901526890733684
20-40%
              precision    recall  f1-score   support

           0       0.27      0.04      0.06       659
           1       1.00      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.63      0.52      0.53    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9946733522826857
40-80%
              precision    recall  f1-score   support

           0       0.27      0.08      0.12       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.63      0.54      0.56     65403
weighted avg       1.00      1.00      1.00     65403

Accuracy: 0.9970796446646178
80-90%
              precision    recall  f1-score   support

           0       0.17      0.07      0.10        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.58      0.53      0.55      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9974275656647712
90-100%
              precision    recall  f1-score   support

           0       0.67      0.22      0.33        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.83      0.61      0.67      5704
weighted avg       1.00      1.00      1.00      5704

Accuracy: 0.9971949509116409

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  28055468
           1       0.86      0.38      0.53  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.67      0.66  49785283
weighted avg       0.75      0.70      0.67  49785283

Accuracy: 0.7039988705095841
0-1%
              precision    recall  f1-score   support

           0       0.67      0.96      0.79  27764588
           1       0.79      0.23      0.36  17098553

    accuracy                           0.68  44863141
   macro avg       0.73      0.60      0.58  44863141
weighted avg       0.72      0.68      0.63  44863141

Accuracy: 0.6845660226955576
1-10%
              precision    recall  f1-score   support

           0       0.09      0.11      0.10    287564
           1       0.94      0.92      0.93   4164787

    accuracy                           0.87   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.87      0.88   4452351

Accuracy: 0.8717032866456396
10-20%
              precision    recall  f1-score   support

           0       0.02      0.05      0.03      2455
           1       0.99      0.98      0.98    257616

    accuracy                           0.97    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.97      0.97    260071

Accuracy: 0.9668744304439941
20-40%
              precision    recall  f1-score   support

           0       0.01      0.06      0.02       659
           1       1.00      0.98      0.99    130568

    accuracy                           0.97    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.97      0.98    131227

Accuracy: 0.9736182340524435
40-80%
              precision    recall  f1-score   support

           0       0.01      0.11      0.02       169
           1       1.00      0.98      0.99     65234

    accuracy                           0.98     65403
   macro avg       0.51      0.54      0.51     65403
weighted avg       1.00      0.98      0.99     65403

Accuracy: 0.9763466507652554
80-90%
              precision    recall  f1-score   support

           0       0.01      0.07      0.01        15
           1       1.00      0.98      0.99      7371

    accuracy                           0.98      7386
   macro avg       0.50      0.52      0.50      7386
weighted avg       1.00      0.98      0.99      7386

Accuracy: 0.9783373950717574
90-100%
              precision    recall  f1-score   support

           0       0.03      0.22      0.06        18
           1       1.00      0.98      0.99      5686

    accuracy                           0.98      5704
   macro avg       0.51      0.60      0.52      5704
weighted avg       0.99      0.98      0.99      5704

Accuracy: 0.9763323983169705

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.89      0.57      0.69  26119367
           1       0.64      0.92      0.75  21615229

    accuracy                           0.73  47734596
   macro avg       0.76      0.74      0.72  47734596
weighted avg       0.78      0.73      0.72  47734596

Accuracy: 0.7263995488722687
0-1%
              precision    recall  f1-score   support

           0       0.97      0.93      0.95  12053010
           1       0.17      0.37      0.23    508421

    accuracy                           0.90  12561431
   macro avg       0.57      0.65      0.59  12561431
weighted avg       0.94      0.90      0.92  12561431

Accuracy: 0.9025661964787293
1-10%
              precision    recall  f1-score   support

           0       0.72      0.28      0.40  13368467
           1       0.57      0.90      0.70  14466820

    accuracy                           0.60  27835287
   macro avg       0.65      0.59      0.55  27835287
weighted avg       0.64      0.60      0.56  27835287

Accuracy: 0.600780764358564
10-20%
              precision    recall  f1-score   support

           0       0.18      0.01      0.02    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.52      0.50      0.47   3890639
weighted avg       0.78      0.87      0.81   3890639

Accuracy: 0.8655570460276577
20-40%
              precision    recall  f1-score   support

           0       0.10      0.00      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.52      0.50      0.49   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9280022361636195
40-80%
              precision    recall  f1-score   support

           0       0.06      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9613055488993077
80-90%
              precision    recall  f1-score   support

           0       0.05      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9743622819181528
90-100%
              precision    recall  f1-score   support

           0       0.03      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.50      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9759444640072438

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7469020163069988

              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26119367
           1       0.70      0.76      0.73  21615229

    accuracy                           0.75  47734596
   macro avg       0.75      0.75      0.75  47734596
weighted avg       0.75      0.75      0.75  47734596

Accuracy: 0.7469020372561653
0-1%
              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464193211744745

              precision    recall  f1-score   support

           0       0.96      0.98      0.97  12053010
           1       0.22      0.13      0.16    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.56      0.57  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9464193211744745
1-10%
              precision    recall  f1-score   support

           0       0.80      0.75      0.77  25421477
           1       0.62      0.68      0.65  14975241

    accuracy                           0.72  40396718
   macro avg       0.71      0.72      0.71  40396718
weighted avg       0.73      0.72      0.73  40396718

Accuracy: 0.7246658008207498

              precision    recall  f1-score   support

           0       0.63      0.54      0.58  13368467
           1       0.62      0.70      0.66  14466820

    accuracy                           0.62  27835287
   macro avg       0.62      0.62      0.62  27835287
weighted avg       0.62      0.62      0.62  27835287

Accuracy: 0.6245934521889428
10-20%
              precision    recall  f1-score   support

           0       0.79      0.74      0.76  25924842
           1       0.66      0.73      0.69  18362515

    accuracy                           0.73  44287357
   macro avg       0.73      0.73      0.73  44287357
weighted avg       0.74      0.73      0.73  44287357

Accuracy: 0.7333267370188743

              precision    recall  f1-score   support

           0       0.15      0.08      0.11    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.51      0.51      0.50   3890639
weighted avg       0.78      0.82      0.80   3890639

Accuracy: 0.8232537123079268
20-40%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26072330
           1       0.69      0.75      0.72  20332940

    accuracy                           0.74  46405270
   macro avg       0.74      0.74      0.74  46405270
weighted avg       0.75      0.74      0.74  46405270

Accuracy: 0.7410568023847292

              precision    recall  f1-score   support

           0       0.08      0.04      0.05    147488
           1       0.93      0.97      0.95   1970425

    accuracy                           0.90   2117913
   macro avg       0.51      0.50      0.50   2117913
weighted avg       0.87      0.90      0.89   2117913

Accuracy: 0.9026990249363407
40-80%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  26113946
           1       0.70      0.76      0.73  21397219

    accuracy                           0.75  47511165
   macro avg       0.74      0.75      0.74  47511165
weighted avg       0.75      0.75      0.75  47511165

Accuracy: 0.7458686605558925

              precision    recall  f1-score   support

           0       0.05      0.02      0.03     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.50      0.50      0.50   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9477825652525782
80-90%
              precision    recall  f1-score   support

           0       0.03      0.01      0.02      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.50      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9653810184140088
90-100%
              precision    recall  f1-score   support

           0       0.02      0.01      0.01      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.50      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9682177171889934

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.68      0.85      0.75  26119367
           1       0.74      0.52      0.61  21615229

    accuracy                           0.70  47734596
   macro avg       0.71      0.68      0.68  47734596
weighted avg       0.71      0.70      0.69  47734596

Accuracy: 0.6992453439848951
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.25      0.05      0.08    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.52      0.53  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.955294424655917
1-10%
              precision    recall  f1-score   support

           0       0.56      0.74      0.64  13368467
           1       0.66      0.46      0.54  14466820

    accuracy                           0.59  27835287
   macro avg       0.61      0.60      0.59  27835287
weighted avg       0.61      0.59      0.59  27835287

Accuracy: 0.5930401939092634
10-20%
              precision    recall  f1-score   support

           0       0.15      0.38      0.21    503365
           1       0.88      0.67      0.76   3387274

    accuracy                           0.64   3890639
   macro avg       0.51      0.53      0.49   3890639
weighted avg       0.79      0.64      0.69   3890639

Accuracy: 0.6368159574815345
20-40%
              precision    recall  f1-score   support

           0       0.08      0.34      0.13    147488
           1       0.94      0.71      0.81   1970425

    accuracy                           0.68   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.68      0.76   2117913

Accuracy: 0.6832471399911139
40-80%
              precision    recall  f1-score   support

           0       0.04      0.33      0.08     41616
           1       0.96      0.72      0.83   1064279

    accuracy                           0.71   1105895
   macro avg       0.50      0.53      0.45   1105895
weighted avg       0.93      0.71      0.80   1105895

Accuracy: 0.7099543808408574
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      3093
           1       0.98      0.73      0.84    120943

    accuracy                           0.72    124036
   macro avg       0.50      0.52      0.44    124036
weighted avg       0.95      0.72      0.82    124036

Accuracy: 0.7199603340965526
90-100%
              precision    recall  f1-score   support

           0       0.03      0.30      0.05      2328
           1       0.98      0.73      0.84     97067

    accuracy                           0.72     99395
   macro avg       0.50      0.52      0.44     99395
weighted avg       0.96      0.72      0.82     99395

Accuracy: 0.7220685145128024

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      0.97      0.72  26119367
           1       0.78      0.13      0.23  21615229

    accuracy                           0.59  47734596
   macro avg       0.68      0.55      0.47  47734596
weighted avg       0.67      0.59      0.50  47734596

Accuracy: 0.5900415078405608
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.24      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.60      0.50      0.49  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9593151449066591
1-10%
              precision    recall  f1-score   support

           0       0.49      0.95      0.65  13368467
           1       0.68      0.10      0.17  14466820

    accuracy                           0.51  27835287
   macro avg       0.59      0.52      0.41  27835287
weighted avg       0.59      0.51      0.40  27835287

Accuracy: 0.5074993837857681
10-20%
              precision    recall  f1-score   support

           0       0.13      0.82      0.23    503365
           1       0.88      0.20      0.33   3387274

    accuracy                           0.28   3890639
   macro avg       0.51      0.51      0.28   3890639
weighted avg       0.78      0.28      0.31   3890639

Accuracy: 0.2795527932558122
20-40%
              precision    recall  f1-score   support

           0       0.07      0.80      0.13    147488
           1       0.94      0.22      0.36   1970425

    accuracy                           0.26   2117913
   macro avg       0.50      0.51      0.25   2117913
weighted avg       0.88      0.26      0.35   2117913

Accuracy: 0.26392018935622
40-80%
              precision    recall  f1-score   support

           0       0.04      0.79      0.07     41616
           1       0.97      0.24      0.38   1064279

    accuracy                           0.26   1105895
   macro avg       0.50      0.51      0.23   1105895
weighted avg       0.93      0.26      0.37   1105895

Accuracy: 0.2576356706558941
80-90%
              precision    recall  f1-score   support

           0       0.03      0.78      0.05      3093
           1       0.98      0.24      0.39    120943

    accuracy                           0.26    124036
   macro avg       0.50      0.51      0.22    124036
weighted avg       0.95      0.26      0.38    124036

Accuracy: 0.2570866522622464
90-100%
              precision    recall  f1-score   support

           0       0.02      0.78      0.05      2328
           1       0.98      0.24      0.39     97067

    accuracy                           0.25     99395
   macro avg       0.50      0.51      0.22     99395
weighted avg       0.96      0.25      0.38     99395

Accuracy: 0.25379546254841795

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.52      0.65  24893266
           1       0.61      0.90      0.73  20563095

    accuracy                           0.69  45456361
   macro avg       0.73      0.71      0.69  45456361
weighted avg       0.75      0.69      0.69  45456361

Accuracy: 0.692879639001459
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.02      0.23      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.61      0.51   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888929916610302
1-10%
              precision    recall  f1-score   support

           0       0.86      0.47      0.60  16949103
           1       0.43      0.84      0.56   8016772

    accuracy                           0.58  24965875
   macro avg       0.64      0.65      0.58  24965875
weighted avg       0.72      0.58      0.59  24965875

Accuracy: 0.5842311555272948
10-20%
              precision    recall  f1-score   support

           0       0.39      0.13      0.19   2057494
           1       0.74      0.92      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.56      0.53      0.51   7518650
weighted avg       0.64      0.71      0.65   7518650

Accuracy: 0.7061187846222393
20-40%
              precision    recall  f1-score   support

           0       0.23      0.10      0.14    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.54      0.52      0.51   4805513
weighted avg       0.75      0.81      0.78   4805513

Accuracy: 0.8098831487918148
40-80%
              precision    recall  f1-score   support

           0       0.13      0.08      0.10    235909
           1       0.92      0.95      0.93   2483775

    accuracy                           0.87   2719684
   macro avg       0.52      0.52      0.52   2719684
weighted avg       0.85      0.87      0.86   2719684

Accuracy: 0.8726164510288695
80-90%
              precision    recall  f1-score   support

           0       0.09      0.07      0.08     18577
           1       0.94      0.95      0.95    296772

    accuracy                           0.90    315349
   macro avg       0.51      0.51      0.51    315349
weighted avg       0.89      0.90      0.90    315349

Accuracy: 0.8983221763823573
90-100%
              precision    recall  f1-score   support

           0       0.08      0.07      0.07     13620
           1       0.95      0.95      0.95    240209

    accuracy                           0.90    253829
   macro avg       0.51      0.51      0.51    253829
weighted avg       0.90      0.90      0.90    253829

Accuracy: 0.9028440406730516

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24893266
           1       0.68      0.71      0.69  20563095

    accuracy                           0.72  45456361
   macro avg       0.71      0.72      0.71  45456361
weighted avg       0.72      0.72      0.72  45456361

Accuracy: 0.7164894259793475

              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24893266
           1       0.68      0.71      0.69  20563095

    accuracy                           0.72  45456361
   macro avg       0.71      0.72      0.71  45456361
weighted avg       0.72      0.72      0.72  45456361

Accuracy: 0.7164893819811049
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.04      0.06      0.05      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.53      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.997983171982308

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.04      0.06      0.05      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.53      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.997983171982308
1-10%
              precision    recall  f1-score   support

           0       0.79      0.71      0.75  16949103
           1       0.50      0.61      0.55   8016772

    accuracy                           0.68  24965875
   macro avg       0.64      0.66      0.65  24965875
weighted avg       0.70      0.68      0.68  24965875

Accuracy: 0.676444306478343

              precision    recall  f1-score   support

           0       0.84      0.77      0.81  21822692
           1       0.50      0.61      0.55   8020644

    accuracy                           0.73  29843336
   macro avg       0.67      0.69      0.68  29843336
weighted avg       0.75      0.73      0.74  29843336

Accuracy: 0.7289951766786394
10-20%
              precision    recall  f1-score   support

           0       0.80      0.74      0.77  23880186
           1       0.59      0.67      0.63  13481800

    accuracy                           0.71  37361986
   macro avg       0.69      0.70      0.70  37361986
weighted avg       0.72      0.71      0.72  37361986

Accuracy: 0.7126612594951457

              precision    recall  f1-score   support

           0       0.36      0.37      0.36   2057494
           1       0.76      0.75      0.76   5461156

    accuracy                           0.65   7518650
   macro avg       0.56      0.56      0.56   7518650
weighted avg       0.65      0.65      0.65   7518650

Accuracy: 0.6478280010374203
20-40%
              precision    recall  f1-score   support

           0       0.77      0.73      0.75  24625160
           1       0.64      0.69      0.67  17542339

    accuracy                           0.71  42167499
   macro avg       0.71      0.71      0.71  42167499
weighted avg       0.72      0.71      0.71  42167499

Accuracy: 0.7129064021558404

              precision    recall  f1-score   support

           0       0.22      0.32      0.26    744974
           1       0.86      0.79      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.71      0.74   4805513

Accuracy: 0.7148123415751867
40-80%
              precision    recall  f1-score   support

           0       0.13      0.30      0.18    235909
           1       0.92      0.80      0.86   2483775

    accuracy                           0.76   2719684
   macro avg       0.52      0.55      0.52   2719684
weighted avg       0.85      0.76      0.80   2719684

Accuracy: 0.7590021487790494

              precision    recall  f1-score   support

           0       0.75      0.72      0.74  24861069
           1       0.67      0.71      0.69  20026114

    accuracy                           0.72  44887183
   macro avg       0.71      0.71      0.71  44887183
weighted avg       0.72      0.72      0.72  44887183

Accuracy: 0.715699312206783
80-90%
              precision    recall  f1-score   support

           0       0.09      0.29      0.13     18577
           1       0.95      0.81      0.87    296772

    accuracy                           0.78    315349
   macro avg       0.52      0.55      0.50    315349
weighted avg       0.90      0.78      0.83    315349

Accuracy: 0.7766760002410028
90-100%
              precision    recall  f1-score   support

           0       0.08      0.30      0.13     13620
           1       0.95      0.81      0.88    240209

    accuracy                           0.78    253829
   macro avg       0.52      0.55      0.50    253829
weighted avg       0.91      0.78      0.83    253829

Accuracy: 0.7814394730310563

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.84      0.75  24893266
           1       0.73      0.51      0.60  20563095

    accuracy                           0.69  45456361
   macro avg       0.70      0.68      0.67  45456361
weighted avg       0.70      0.69      0.68  45456361

Accuracy: 0.6912363046395201
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.05      0.01      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.52      0.50      0.51   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9991007616462746
1-10%
              precision    recall  f1-score   support

           0       0.74      0.85      0.79  16949103
           1       0.55      0.38      0.45   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.62      0.62  24965875
weighted avg       0.68      0.70      0.68  24965875

Accuracy: 0.7004711431103456
10-20%
              precision    recall  f1-score   support

           0       0.32      0.56      0.41   2057494
           1       0.77      0.56      0.64   5461156

    accuracy                           0.56   7518650
   macro avg       0.54      0.56      0.53   7518650
weighted avg       0.65      0.56      0.58   7518650

Accuracy: 0.5557657292200062
20-40%
              precision    recall  f1-score   support

           0       0.19      0.49      0.27    744974
           1       0.87      0.61      0.72   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.55      0.49   4805513
weighted avg       0.76      0.59      0.65   4805513

Accuracy: 0.5906813695020698
40-80%
              precision    recall  f1-score   support

           0       0.11      0.47      0.18    235909
           1       0.93      0.63      0.75   2483775

    accuracy                           0.62   2719684
   macro avg       0.52      0.55      0.46   2719684
weighted avg       0.86      0.62      0.70   2719684

Accuracy: 0.6189594085195191
80-90%
              precision    recall  f1-score   support

           0       0.07      0.46      0.13     18577
           1       0.95      0.64      0.77    296772

    accuracy                           0.63    315349
   macro avg       0.51      0.55      0.45    315349
weighted avg       0.90      0.63      0.73    315349

Accuracy: 0.6303682586594535
90-100%
              precision    recall  f1-score   support

           0       0.07      0.46      0.12     13620
           1       0.95      0.64      0.77    240209

    accuracy                           0.63    253829
   macro avg       0.51      0.55      0.44    253829
weighted avg       0.91      0.63      0.73    253829

Accuracy: 0.6336628202451257

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.82      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6672459586246958
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968677399146709
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.82      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.652054931817481
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.64      0.57      0.56   8856813

Accuracy: 0.5747530178180346
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.6626309490602021
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.7309125126555893
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7595617294000977
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.77    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.77      0.78    666440

Accuracy: 0.7651371466298541

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166788554863041

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166788554863041
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%
              precision    recall  f1-score   support

           0       0.95      0.91      0.93  12989887
           1       0.37      0.54      0.44   1271288

    accuracy                           0.88  14261175
   macro avg       0.66      0.72      0.69  14261175
weighted avg       0.90      0.88      0.89  14261175

Accuracy: 0.8781928557780126

              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8633401818997707
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951380544016201

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6614038255069854
20-40%


              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.6158679528275065
40-80%
              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217188310419808

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5963771067833958
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5875665448014881
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5864188824200228

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.63      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6770472795978414
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.38   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9062507670415388
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6534576263493426
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.48   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5216986312675191
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.44304067655291524
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.4095989796874923
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.4037962907388512

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.23      0.35  28055468
           1       0.49      0.94      0.64  21729815

    accuracy                           0.54  49785283
   macro avg       0.66      0.58      0.50  49785283
weighted avg       0.68      0.54      0.48  49785283

Accuracy: 0.5389093198485986
0-1%
              precision    recall  f1-score   support

           0       0.87      0.23      0.36  27764588
           1       0.43      0.94      0.59  17098553

    accuracy                           0.50  44863141
   macro avg       0.65      0.59      0.47  44863141
weighted avg       0.70      0.50      0.45  44863141

Accuracy: 0.49991528680526404
1-10%
              precision    recall  f1-score   support

           0       0.08      0.07      0.07    287564
           1       0.94      0.95      0.94   4164787

    accuracy                           0.89   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.89      0.89   4452351

Accuracy: 0.8895844015891828
10-20%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02      2455
           1       0.99      0.94      0.97    257616

    accuracy                           0.94    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.94      0.96    260071

Accuracy: 0.9368210988537745
20-40%
              precision    recall  f1-score   support

           0       0.01      0.10      0.02       659
           1       1.00      0.95      0.97    130568

    accuracy                           0.94    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.94      0.97    131227

Accuracy: 0.9418945796215717
40-80%
              precision    recall  f1-score   support

           0       0.01      0.16      0.01       169
           1       1.00      0.94      0.97     65234

    accuracy                           0.94     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.94      0.97     65403

Accuracy: 0.9425561518584774
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.95      0.97      7371

    accuracy                           0.94      7386
   macro avg       0.50      0.54      0.49      7386
weighted avg       1.00      0.94      0.97      7386

Accuracy: 0.9440834010289737
90-100%
              precision    recall  f1-score   support

           0       0.02      0.28      0.03        18
           1       1.00      0.95      0.97      5686

    accuracy                           0.94      5704
   macro avg       0.51      0.61      0.50      5704
weighted avg       0.99      0.94      0.97      5704

Accuracy: 0.9431977559607293

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055468
           1       0.55      0.78      0.65  21729815

    accuracy                           0.63  49785283
   macro avg       0.65      0.64      0.63  49785283
weighted avg       0.66      0.63      0.62  49785283

Accuracy: 0.6269150061876719
0-1%


              precision    recall  f1-score   support

           0       0.79      0.51      0.62  27764588
           1       0.50      0.78      0.60  17098553

    accuracy                           0.61  44863141
   macro avg       0.64      0.64      0.61  44863141
weighted avg       0.68      0.61      0.61  44863141

Accuracy: 0.6129199023314038
1-10%
              precision    recall  f1-score   support

           0       0.07      0.23      0.11    287564
           1       0.94      0.79      0.86   4164787

    accuracy                           0.75   4452351
   macro avg       0.50      0.51      0.48   4452351
weighted avg       0.88      0.75      0.81   4452351

Accuracy: 0.7517740627367429

              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28052152
           1       0.55      0.78      0.64  21263340

    accuracy                           0.63  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.66      0.63      0.62  49315492

Accuracy: 0.6254560737222291
10-20%
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28054607
           1       0.55      0.78      0.64  21520956

    accuracy                           0.63  49575563
   macro avg       0.65      0.64      0.63  49575563
weighted avg       0.66      0.63      0.62  49575563

Accuracy: 0.6262555202852663

              precision    recall  f1-score   support

           0       0.01      0.24      0.02      2455
           1       0.99      0.78      0.87    257616

    accuracy                           0.78    260071
   macro avg       0.50      0.51      0.45    260071
weighted avg       0.98      0.78      0.87    260071

Accuracy: 0.7778491258156427
20-40%
              precision    recall  f1-score   support

           0       0.75      0.51      0.61  28055266
           1       0.55      0.78      0.65  21651524

    accuracy                           0.63  49706790
   macro avg       0.65      0.64      0.63  49706790
weighted avg       0.66      0.63      0.62  49706790

Accuracy: 0.6266689319507456

              precision    recall  f1-score   support

           0       0.01      0.28      0.01       659
           1       1.00      0.79      0.88    130568

    accuracy                           0.78    131227
   macro avg       0.50      0.53      0.45    131227
weighted avg       0.99      0.78      0.87    131227

Accuracy: 0.7828495660191881
40-80%


              precision    recall  f1-score   support

           0       0.00      0.27      0.01       169
           1       1.00      0.78      0.88     65234

    accuracy                           0.78     65403
   macro avg       0.50      0.52      0.44     65403
weighted avg       1.00      0.78      0.88     65403

Accuracy: 0.7822576946011651
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01        15
           1       1.00      0.78      0.88      7371

    accuracy                           0.78      7386
   macro avg       0.50      0.56      0.44      7386
weighted avg       1.00      0.78      0.87      7386

Accuracy: 0.7787706471703222
90-100%
              precision    recall  f1-score   support

           0       0.01      0.33      0.01        18
           1       1.00      0.79      0.88      5686

    accuracy                           0.79      5704
   macro avg       0.50      0.56      0.45      5704
weighted avg       0.99      0.79      0.88      5704

Accuracy: 0.7934782608695652

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.66      0.77      0.71  28055468
           1       0.62      0.48      0.54  21729815

    accuracy                           0.64  49785283
   macro avg       0.64      0.62      0.62  49785283
weighted avg       0.64      0.64      0.63  49785283

Accuracy: 0.6420526323009954
0-1%
              precision    recall  f1-score   support

           0       0.70      0.77      0.74  27764588
           1       0.56      0.47      0.51  17098553

    accuracy                           0.66  44863141
   macro avg       0.63      0.62      0.62  44863141
weighted avg       0.65      0.66      0.65  44863141

Accuracy: 0.6572652369569932
1-10%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12    287564
           1       0.94      0.50      0.65   4164787

    accuracy                           0.50   4452351
   macro avg       0.50      0.51      0.39   4452351
weighted avg       0.88      0.50      0.62   4452351

Accuracy: 0.5033585627009192
10-20%
              precision    recall  f1-score   support

           0       0.01      0.50      0.02      2455
           1       0.99      0.50      0.67    257616

    accuracy                           0.50    260071
   macro avg       0.50      0.50      0.34    260071
weighted avg       0.98      0.50      0.66    260071

Accuracy: 0.5031856685289786
20-40%
              precision    recall  f1-score   support

           0       0.01      0.55      0.01       659
           1       1.00      0.50      0.67    130568

    accuracy                           0.50    131227
   macro avg       0.50      0.52      0.34    131227
weighted avg       0.99      0.50      0.67    131227

Accuracy: 0.5033796398606994
40-80%
              precision    recall  f1-score   support

           0       0.00      0.53      0.01       169
           1       1.00      0.51      0.67     65234

    accuracy                           0.51     65403
   macro avg       0.50      0.52      0.34     65403
weighted avg       1.00      0.51      0.67     65403

Accuracy: 0.5063682094093543
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.50      0.67      7371

    accuracy                           0.50      7386
   macro avg       0.50      0.42      0.33      7386
weighted avg       1.00      0.50      0.66      7386

Accuracy: 0.499729217438397
90-100%
              precision    recall  f1-score   support

           0       0.00      0.56      0.01        18
           1       1.00      0.51      0.68      5686

    accuracy                           0.51      5704
   macro avg       0.50      0.53      0.34      5704
weighted avg       0.99      0.51      0.68      5704

Accuracy: 0.5136746143057503

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.28      0.42  26119367
           1       0.52      0.93      0.66  21615229

    accuracy                           0.57  47734596
   macro avg       0.67      0.60      0.54  47734596
weighted avg       0.69      0.57      0.53  47734596

Accuracy: 0.5734690830943662
0-1%
              precision    recall  f1-score   support

           0       0.99      0.44      0.61  12053010
           1       0.06      0.91      0.12    508421

    accuracy                           0.46  12561431
   macro avg       0.53      0.68      0.37  12561431
weighted avg       0.95      0.46      0.59  12561431

Accuracy: 0.4628935190584576
1-10%
              precision    recall  f1-score   support

           0       0.65      0.14      0.23  13368467
           1       0.54      0.93      0.68  14466820

    accuracy                           0.55  27835287
   macro avg       0.59      0.53      0.46  27835287
weighted avg       0.59      0.55      0.46  27835287

Accuracy: 0.5500978667832669
10-20%
              precision    recall  f1-score   support

           0       0.18      0.10      0.13    503365
           1       0.87      0.93      0.90   3387274

    accuracy                           0.82   3890639
   macro avg       0.53      0.52      0.52   3890639
weighted avg       0.79      0.82      0.80   3890639

Accuracy: 0.8238428186218254
20-40%
              precision    recall  f1-score   support

           0       0.10      0.11      0.10    147488
           1       0.93      0.93      0.93   1970425

    accuracy                           0.87   2117913
   macro avg       0.52      0.52      0.52   2117913
weighted avg       0.87      0.87      0.87   2117913

Accuracy: 0.8721297805906097
40-80%
              precision    recall  f1-score   support

           0       0.06      0.11      0.08     41616
           1       0.96      0.93      0.95   1064279

    accuracy                           0.90   1105895
   macro avg       0.51      0.52      0.51   1105895
weighted avg       0.93      0.90      0.91   1105895

Accuracy: 0.8973220784975066
80-90%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      3093
           1       0.98      0.93      0.95    120943

    accuracy                           0.91    124036
   macro avg       0.51      0.53      0.51    124036
weighted avg       0.95      0.91      0.93    124036

Accuracy: 0.9071398626205295
90-100%
              precision    recall  f1-score   support

           0       0.04      0.12      0.06      2328
           1       0.98      0.93      0.95     97067

    accuracy                           0.91     99395
   macro avg       0.51      0.52      0.51     99395
weighted avg       0.96      0.91      0.93     99395

Accuracy: 0.9089592031792344

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008

              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26119367
           1       0.60      0.76      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6589189316696008
0-1%
              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085

              precision    recall  f1-score   support

           0       0.98      0.78      0.87  12053010
           1       0.12      0.70      0.20    508421

    accuracy                           0.78  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.78      0.84  12561431

Accuracy: 0.776987749246085
1-10%
              precision    recall  f1-score   support

           0       0.80      0.58      0.68  25421477
           1       0.52      0.76      0.61  14975241

    accuracy                           0.65  40396718
   macro avg       0.66      0.67      0.65  40396718
weighted avg       0.70      0.65      0.65  40396718

Accuracy: 0.6481008679962565

              precision    recall  f1-score   support

           0       0.61      0.41      0.49  13368467
           1       0.58      0.76      0.66  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5899371542316054
10-20%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  25924842
           1       0.56      0.76      0.64  18362515

    accuracy                           0.65  44287357
   macro avg       0.67      0.67      0.65  44287357
weighted avg       0.68      0.65      0.65  44287357

Accuracy: 0.6531529077248841

              precision    recall  f1-score   support

           0       0.16      0.31      0.21    503365
           1       0.88      0.76      0.82   3387274

    accuracy                           0.71   3890639
   macro avg       0.52      0.54      0.52   3890639
weighted avg       0.79      0.71      0.74   3890639

Accuracy: 0.7056085131516956
20-40%
              precision    recall  f1-score   support

           0       0.75      0.58      0.65  26072330
           1       0.58      0.76      0.66  20332940

    accuracy                           0.66  46405270
   macro avg       0.67      0.67      0.66  46405270
weighted avg       0.68      0.66      0.66  46405270

Accuracy: 0.6565860946396821

              precision    recall  f1-score   support

           0       0.09      0.31      0.14    147488
           1       0.94      0.76      0.84   1970425

    accuracy                           0.73   2117913
   macro avg       0.51      0.53      0.49   2117913
weighted avg       0.88      0.73      0.79   2117913

Accuracy: 0.7283769446620328
40-80%
              precision    recall  f1-score   support

           0       0.74      0.58      0.65  26113946
           1       0.59      0.76      0.67  21397219

    accuracy                           0.66  47511165
   macro avg       0.67      0.67      0.66  47511165
weighted avg       0.68      0.66      0.66  47511165

Accuracy: 0.6585215706666001

              precision    recall  f1-score   support

           0       0.05      0.31      0.08     41616
           1       0.97      0.76      0.85   1064279

    accuracy                           0.74   1105895
   macro avg       0.51      0.53      0.47   1105895
weighted avg       0.93      0.74      0.82   1105895

Accuracy: 0.7397374976828722
80-90%
              precision    recall  f1-score   support

           0       0.03      0.32      0.06      3093
           1       0.98      0.75      0.85    120943

    accuracy                           0.74    124036
   macro avg       0.51      0.54      0.46    124036
weighted avg       0.95      0.74      0.83    124036

Accuracy: 0.7428327259827792
90-100%
              precision    recall  f1-score   support

           0       0.03      0.31      0.05      2328
           1       0.98      0.75      0.85     97067

    accuracy                           0.74     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.74      0.83     99395

Accuracy: 0.7441420594597313

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.67      0.76      0.71  26119367
           1       0.65      0.56      0.60  21615229

    accuracy                           0.67  47734596
   macro avg       0.66      0.66      0.66  47734596
weighted avg       0.66      0.67      0.66  47734596

Accuracy: 0.6657563834833754
0-1%
              precision    recall  f1-score   support

           0       0.98      0.91      0.94  12053010
           1       0.20      0.49      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.70      0.61  12561431
weighted avg       0.95      0.90      0.92  12561431

Accuracy: 0.8974491839345374
1-10%
              precision    recall  f1-score   support

           0       0.57      0.63      0.59  13368467
           1       0.62      0.55      0.58  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.59  27835287
weighted avg       0.59      0.59      0.59  27835287

Accuracy: 0.5894146879103492
10-20%
              precision    recall  f1-score   support

           0       0.14      0.49      0.22    503365
           1       0.88      0.57      0.69   3387274

    accuracy                           0.56   3890639
   macro avg       0.51      0.53      0.46   3890639
weighted avg       0.79      0.56      0.63   3890639

Accuracy: 0.5584344885248927
20-40%
              precision    recall  f1-score   support

           0       0.08      0.49      0.13    147488
           1       0.94      0.56      0.70   1970425

    accuracy                           0.56   2117913
   macro avg       0.51      0.53      0.42   2117913
weighted avg       0.88      0.56      0.66   2117913

Accuracy: 0.5591060633746523
40-80%
              precision    recall  f1-score   support

           0       0.04      0.49      0.08     41616
           1       0.97      0.56      0.71   1064279

    accuracy                           0.56   1105895
   macro avg       0.50      0.53      0.39   1105895
weighted avg       0.93      0.56      0.69   1105895

Accuracy: 0.5591344567070111
80-90%
              precision    recall  f1-score   support

           0       0.03      0.50      0.05      3093
           1       0.98      0.56      0.71    120943

    accuracy                           0.56    124036
   macro avg       0.50      0.53      0.38    124036
weighted avg       0.95      0.56      0.70    124036

Accuracy: 0.5583056531974588
90-100%
              precision    recall  f1-score   support

           0       0.03      0.48      0.05      2328
           1       0.98      0.56      0.71     97067

    accuracy                           0.56     99395
   macro avg       0.50      0.52      0.38     99395
weighted avg       0.96      0.56      0.70     99395

Accuracy: 0.5577745359424519

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.59157576194842
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571753409305038
1-10%
              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.15      0.25  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5207842117812544
10-20%
              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.28   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.25682979068476924
20-40%
              precision    recall  f1-score   support

           0       0.07      0.85      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.21765294419553588
40-80%
              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.29   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.28   1105895

Accuracy: 0.19608281075508976
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.17      0.29    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.18934825373278724
90-100%
              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.29     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.28     99395

Accuracy: 0.18537149756023946

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.31      0.45  24893266
           1       0.53      0.92      0.67  20563095

    accuracy                           0.59  45456361
   macro avg       0.68      0.62      0.56  45456361
weighted avg       0.69      0.59      0.55  45456361

Accuracy: 0.588235582694356
0-1%
              precision    recall  f1-score   support

           0       1.00      0.72      0.83   4873589
           1       0.00      0.91      0.01      3872

    accuracy                           0.72   4877461
   macro avg       0.50      0.81      0.42   4877461
weighted avg       1.00      0.72      0.83   4877461

Accuracy: 0.7155848093916076
1-10%
              precision    recall  f1-score   support

           0       0.86      0.23      0.36  16949103
           1       0.36      0.92      0.52   8016772

    accuracy                           0.45  24965875
   macro avg       0.61      0.57      0.44  24965875
weighted avg       0.70      0.45      0.41  24965875

Accuracy: 0.4500897324848418
10-20%
              precision    recall  f1-score   support

           0       0.40      0.13      0.20   2057494
           1       0.74      0.93      0.82   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7093216202376756
20-40%
              precision    recall  f1-score   support

           0       0.24      0.13      0.17    744974
           1       0.85      0.93      0.89   4060539

    accuracy                           0.80   4805513
   macro avg       0.55      0.53      0.53   4805513
weighted avg       0.76      0.80      0.78   4805513

Accuracy: 0.8020350792933033
40-80%
              precision    recall  f1-score   support

           0       0.14      0.13      0.14    235909
           1       0.92      0.92      0.92   2483775

    accuracy                           0.85   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.85      0.85   2719684

Accuracy: 0.8549563111008485
80-90%
              precision    recall  f1-score   support

           0       0.10      0.14      0.11     18577
           1       0.94      0.92      0.93    296772

    accuracy                           0.88    315349
   macro avg       0.52      0.53      0.52    315349
weighted avg       0.89      0.88      0.88    315349

Accuracy: 0.8754871586718207
90-100%
              precision    recall  f1-score   support

           0       0.09      0.14      0.11     13620
           1       0.95      0.92      0.94    240209

    accuracy                           0.88    253829
   macro avg       0.52      0.53      0.52    253829
weighted avg       0.90      0.88      0.89    253829

Accuracy: 0.879733994145665

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24893266
           1       0.61      0.77      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.69      0.68      0.68  45456361
weighted avg       0.69      0.68      0.67  45456361

Accuracy: 0.6755377756701642
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423

              precision    recall  f1-score   support

           0       1.00      0.95      0.97   4873589
           1       0.01      0.71      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.97   4877461

Accuracy: 0.9478956366847423
1-10%
              precision    recall  f1-score   support

           0       0.83      0.54      0.65  16949103
           1       0.44      0.76      0.56   8016772

    accuracy                           0.61  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.61      0.62  24965875

Accuracy: 0.6123784165385752

              precision    recall  f1-score   support

           0       0.88      0.63      0.74  21822692
           1       0.43      0.76      0.55   8020644

    accuracy                           0.67  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.76      0.67      0.69  29843336

Accuracy: 0.6672138463340693
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  23880186
           1       0.53      0.77      0.62  13481800

    accuracy                           0.67  37361986
   macro avg       0.67      0.69      0.66  37361986
weighted avg       0.72      0.67      0.67  37361986

Accuracy: 0.6666169726630699

              precision    recall  f1-score   support

           0       0.38      0.37      0.37   2057494
           1       0.77      0.78      0.77   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6642478370452143
20-40%
              precision    recall  f1-score   support

           0       0.78      0.60      0.68  24625160
           1       0.58      0.77      0.66  17542339

    accuracy                           0.67  42167499
   macro avg       0.68      0.69      0.67  42167499
weighted avg       0.70      0.67      0.67  42167499

Accuracy: 0.6711966483950115

              precision    recall  f1-score   support

           0       0.22      0.36      0.27    744974
           1       0.87      0.77      0.82   4060539

    accuracy                           0.71   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.71      0.73   4805513

Accuracy: 0.7068027908778938
40-80%
              precision    recall  f1-score   support

           0       0.13      0.35      0.19    235909
           1       0.93      0.77      0.84   2483775

    accuracy                           0.73   2719684
   macro avg       0.53      0.56      0.51   2719684
weighted avg       0.86      0.73      0.78   2719684

Accuracy: 0.729682566062822

              precision    recall  f1-score   support

           0       0.76      0.60      0.67  24861069
           1       0.61      0.77      0.68  20026114

    accuracy                           0.67  44887183
   macro avg       0.68      0.68      0.67  44887183
weighted avg       0.69      0.67      0.67  44887183

Accuracy: 0.6747402705133
80-90%
              precision    recall  f1-score   support

           0       0.09      0.36      0.14     18577
           1       0.95      0.76      0.84    296772

    accuracy                           0.74    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.74      0.80    315349

Accuracy: 0.737205445395419
90-100%
              precision    recall  f1-score   support

           0       0.08      0.36      0.13     13620
           1       0.95      0.76      0.85    240209

    accuracy                           0.74    253829
   macro avg       0.52      0.56      0.49    253829
weighted avg       0.91      0.74      0.81    253829

Accuracy: 0.7399548514945101

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.69      0.76      0.73  24893266
           1       0.67      0.60      0.63  20563095

    accuracy                           0.69  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.68      0.69      0.68  45456361

Accuracy: 0.6853518476765001
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9888999625009816
1-10%
              precision    recall  f1-score   support

           0       0.79      0.73      0.76  16949103
           1       0.51      0.58      0.55   8016772

    accuracy                           0.69  24965875
   macro avg       0.65      0.66      0.65  24965875
weighted avg       0.70      0.69      0.69  24965875

Accuracy: 0.6866411051084731
10-20%
              precision    recall  f1-score   support

           0       0.34      0.54      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.57      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.587527149155766
20-40%
              precision    recall  f1-score   support

           0       0.19      0.51      0.28    744974
           1       0.87      0.60      0.71   4060539

    accuracy                           0.59   4805513
   macro avg       0.53      0.56      0.50   4805513
weighted avg       0.77      0.59      0.65   4805513

Accuracy: 0.5895420530544814
40-80%
              precision    recall  f1-score   support

           0       0.11      0.51      0.18    235909
           1       0.93      0.60      0.73   2483775

    accuracy                           0.59   2719684
   macro avg       0.52      0.55      0.45   2719684
weighted avg       0.86      0.59      0.68   2719684

Accuracy: 0.589262576093399
80-90%
              precision    recall  f1-score   support

           0       0.07      0.51      0.13     18577
           1       0.95      0.59      0.73    296772

    accuracy                           0.59    315349
   macro avg       0.51      0.55      0.43    315349
weighted avg       0.90      0.59      0.69    315349

Accuracy: 0.5877012452869678
90-100%
              precision    recall  f1-score   support

           0       0.07      0.51      0.12     13620
           1       0.96      0.59      0.73    240209

    accuracy                           0.59    253829
   macro avg       0.51      0.55      0.42    253829
weighted avg       0.91      0.59      0.70    253829

Accuracy: 0.5881203487387178

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.38  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6235824288706261
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.25      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.60      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988678535820174
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.24      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7086113344715537
10-20%
              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.26      0.39   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.40   7518650

Accuracy: 0.4131598092742713
20-40%
              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.26      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.34675049261129876
40-80%
              precision    recall  f1-score   support

           0       0.09      0.79      0.17    235909
           1       0.93      0.26      0.41   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.39   2719684

Accuracy: 0.31007793552486246
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.26      0.41    296772

    accuracy                           0.29    315349
   macro avg       0.51      0.53      0.26    315349
weighted avg       0.90      0.29      0.39    315349

Accuracy: 0.2940519868463195
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.26      0.41    240209

    accuracy                           0.29    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.29      0.40    253829

Accuracy: 0.29147969696134013

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.85      0.37      0.51  22531902
           1       0.52      0.92      0.66  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.71      0.60      0.58  39470598

Accuracy: 0.6018024859922315
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.97   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.97      0.98   1549999

Accuracy: 0.9667077204565938
1-10%
              precision    recall  f1-score   support

           0       0.97      0.43      0.59  11439888
           1       0.15      0.90      0.25   1271288

    accuracy                           0.47  12711176
   macro avg       0.56      0.66      0.42  12711176
weighted avg       0.89      0.47      0.56  12711176

Accuracy: 0.47376198708915684
10-20%
              precision    recall  f1-score   support

           0       0.76      0.21      0.33   5044441
           1       0.47      0.91      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.62      0.56      0.47   8856813
weighted avg       0.64      0.51      0.46   8856813

Accuracy: 0.5138466850321893
20-40%
              precision    recall  f1-score   support

           0       0.54      0.18      0.27   2995598
           1       0.68      0.92      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6609011060154826
40-80%
              precision    recall  f1-score   support

           0       0.35      0.17      0.23   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.54      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7643829829472137
80-90%
              precision    recall  f1-score   support

           0       0.26      0.17      0.21    117971
           1       0.87      0.92      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.55    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.8080019044517793
90-100%
              precision    recall  f1-score   support

           0       0.24      0.17      0.20     88944
           1       0.88      0.92      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.55    666440
weighted avg       0.79      0.82      0.80    666440

Accuracy: 0.8164861052757938

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601

              precision    recall  f1-score   support

           0       0.79      0.63      0.70  22531902
           1       0.61      0.78      0.69  16938696

    accuracy                           0.70  39470598
   macro avg       0.70      0.71      0.70  39470598
weighted avg       0.72      0.70      0.70  39470598

Accuracy: 0.69614118843601
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9993296769868883
1-10%
              precision    recall  f1-score   support

           0       0.97      0.76      0.85  12989887
           1       0.24      0.76      0.36   1271288

    accuracy                           0.76  14261175
   macro avg       0.60      0.76      0.61  14261175
weighted avg       0.90      0.76      0.81  14261175

Accuracy: 0.7609895397819605

              precision    recall  f1-score   support

           0       0.96      0.73      0.83  11439888
           1       0.24      0.76      0.36   1271288

    accuracy                           0.73  12711176
   macro avg       0.60      0.74      0.60  12711176
weighted avg       0.89      0.73      0.78  12711176

Accuracy: 0.7319263772289833
10-20%
              precision    recall  f1-score   support

           0       0.92      0.68      0.78  18034328
           1       0.41      0.78      0.54   5083660

    accuracy                           0.70  23117988
   macro avg       0.66      0.73      0.66  23117988
weighted avg       0.80      0.70      0.73  23117988

Accuracy: 0.7036091549143464

              precision    recall  f1-score   support

           0       0.75      0.48      0.59   5044441
           1       0.53      0.78      0.63   3812372

    accuracy                           0.61   8856813
   macro avg       0.64      0.63      0.61   8856813
weighted avg       0.65      0.61      0.61   8856813

Accuracy: 0.6112156822098423
20-40%
              precision    recall  f1-score   support

           0       0.85      0.65      0.74  21029926
           1       0.53      0.78      0.63  10666875

    accuracy                           0.69  31696801
   macro avg       0.69      0.71      0.68  31696801
weighted avg       0.74      0.69      0.70  31696801

Accuracy: 0.6925724775822014

              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.79      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6628310932992711
40-80%
              precision    recall  f1-score   support

           0       0.81      0.63      0.71  22324987
           1       0.60      0.78      0.68  15668439

    accuracy                           0.69  37993426
   macro avg       0.70      0.71      0.69  37993426
weighted avg       0.72      0.69      0.70  37993426

Accuracy: 0.694948831410992

              precision    recall  f1-score   support

           0       0.33      0.41      0.37   1295061
           1       0.84      0.78      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7069112421336827
80-90%
              precision    recall  f1-score   support

           0       0.24      0.41      0.30    117971
           1       0.89      0.78      0.83    692761

    accuracy                           0.73    810732
   macro avg       0.56      0.59      0.56    810732
weighted avg       0.79      0.73      0.75    810732

Accuracy: 0.7250978128407415
90-100%
              precision    recall  f1-score   support

           0       0.22      0.41      0.29     88944
           1       0.89      0.78      0.83    577496

    accuracy                           0.73    666440
   macro avg       0.56      0.59      0.56    666440
weighted avg       0.80      0.73      0.76    666440

Accuracy: 0.7288908228797791

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.78      0.76  22531902
           1       0.68      0.65      0.67  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.72      0.72  39470598

Accuracy: 0.7204513851044263
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999799999870967
1-10%
              precision    recall  f1-score   support

           0       0.95      0.86      0.90  11439888
           1       0.33      0.61      0.43   1271288

    accuracy                           0.84  12711176
   macro avg       0.64      0.73      0.67  12711176
weighted avg       0.89      0.84      0.86  12711176

Accuracy: 0.8360128126618654
10-20%
              precision    recall  f1-score   support

           0       0.71      0.67      0.69   5044441
           1       0.59      0.64      0.62   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6561427908661953
20-40%
              precision    recall  f1-score   support

           0       0.49      0.61      0.54   2995598
           1       0.76      0.66      0.70   5583215

    accuracy                           0.64   8578813
   macro avg       0.62      0.63      0.62   8578813
weighted avg       0.66      0.64      0.65   8578813

Accuracy: 0.6398600832073155
40-80%
              precision    recall  f1-score   support

           0       0.30      0.59      0.40   1295061
           1       0.86      0.65      0.74   5001564

    accuracy                           0.64   6296625
   macro avg       0.58      0.62      0.57   6296625
weighted avg       0.74      0.64      0.67   6296625

Accuracy: 0.6383510213805015
80-90%
              precision    recall  f1-score   support

           0       0.22      0.58      0.32    117971
           1       0.90      0.65      0.75    692761

    accuracy                           0.64    810732
   macro avg       0.56      0.61      0.53    810732
weighted avg       0.80      0.64      0.69    810732

Accuracy: 0.6362965813610416
90-100%
              precision    recall  f1-score   support

           0       0.20      0.58      0.30     88944
           1       0.91      0.65      0.75    577496

    accuracy                           0.64    666440
   macro avg       0.55      0.61      0.53    666440
weighted avg       0.81      0.64      0.69    666440

Accuracy: 0.6363303523197887

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.91      0.77  22531902
           1       0.77      0.41      0.53  16938696

    accuracy                           0.69  39470598
   macro avg       0.72      0.66      0.65  39470598
weighted avg       0.71      0.69      0.67  39470598

Accuracy: 0.6937823693474318
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.96      0.95  11439888
           1       0.52      0.36      0.43   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.66      0.69  12711176
weighted avg       0.89      0.90      0.89  12711176

Accuracy: 0.9026463011762248
10-20%
              precision    recall  f1-score   support

           0       0.66      0.87      0.75   5044441
           1       0.69      0.40      0.51   3812372

    accuracy                           0.66   8856813
   macro avg       0.67      0.63      0.63   8856813
weighted avg       0.67      0.66      0.64   8856813

Accuracy: 0.6646303811540336
20-40%
              precision    recall  f1-score   support

           0       0.43      0.81      0.56   2995598
           1       0.80      0.41      0.55   5583215

    accuracy                           0.55   8578813
   macro avg       0.61      0.61      0.55   8578813
weighted avg       0.67      0.55      0.55   8578813

Accuracy: 0.5518986134795105
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.88      0.41      0.56   5001564

    accuracy                           0.49   6296625
   macro avg       0.57      0.59      0.47   6296625
weighted avg       0.75      0.49      0.52   6296625

Accuracy: 0.4866735751295337
80-90%
              precision    recall  f1-score   support

           0       0.18      0.76      0.29    117971
           1       0.91      0.41      0.56    692761

    accuracy                           0.46    810732
   macro avg       0.54      0.59      0.43    810732
weighted avg       0.80      0.46      0.52    810732

Accuracy: 0.4590259173191634
90-100%
              precision    recall  f1-score   support

           0       0.16      0.76      0.27     88944
           1       0.92      0.41      0.56    577496

    accuracy                           0.45    666440
   macro avg       0.54      0.58      0.42    666440
weighted avg       0.82      0.45      0.52    666440

Accuracy: 0.45408438869215534

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_vtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.73      0.58      0.64  28055468
           1       0.57      0.72      0.63  21729815

    accuracy                           0.64  49785283
   macro avg       0.65      0.65      0.64  49785283
weighted avg       0.66      0.64      0.64  49785283

Accuracy: 0.6378637839620195
0-1%
              precision    recall  f1-score   support

           0       0.77      0.58      0.66  27764588
           1       0.51      0.72      0.60  17098553

    accuracy                           0.63  44863141
   macro avg       0.64      0.65      0.63  44863141
weighted avg       0.67      0.63      0.64  44863141

Accuracy: 0.6305081492176395
1-10%
              precision    recall  f1-score   support

           0       0.07      0.29      0.11    287564
           1       0.94      0.73      0.82   4164787

    accuracy                           0.70   4452351
   macro avg       0.50      0.51      0.47   4452351
weighted avg       0.88      0.70      0.78   4452351

Accuracy: 0.7026568660018044
10-20%
              precision    recall  f1-score   support

           0       0.01      0.29      0.02      2455
           1       0.99      0.73      0.84    257616

    accuracy                           0.72    260071
   macro avg       0.50      0.51      0.43    260071
weighted avg       0.98      0.72      0.83    260071

Accuracy: 0.7241599409392051
20-40%
              precision    recall  f1-score   support

           0       0.01      0.31      0.01       659
           1       1.00      0.73      0.84    130568

    accuracy                           0.73    131227
   macro avg       0.50      0.52      0.43    131227
weighted avg       0.99      0.73      0.84    131227

Accuracy: 0.7286153002049883
40-80%
              precision    recall  f1-score   support

           0       0.00      0.33      0.01       169
           1       1.00      0.73      0.84     65234

    accuracy                           0.73     65403
   macro avg       0.50      0.53      0.42     65403
weighted avg       1.00      0.73      0.84     65403

Accuracy: 0.7290949956424018
80-90%
              precision    recall  f1-score   support

           0       0.00      0.33      0.00        15
           1       1.00      0.72      0.84      7371

    accuracy                           0.72      7386
   macro avg       0.50      0.53      0.42      7386
weighted avg       1.00      0.72      0.84      7386

Accuracy: 0.7217709179528838
90-100%
              precision    recall  f1-score   support

           0       0.00      0.39      0.01        18
           1       1.00      0.74      0.85      5686

    accuracy                           0.74      5704
   macro avg       0.50      0.56      0.43      5704
weighted avg       0.99      0.74      0.85      5704

Accuracy: 0.7389551192145862

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.74      0.59      0.66  26119367
           1       0.60      0.75      0.67  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.67      0.66  47734596
weighted avg       0.68      0.66      0.66  47734596

Accuracy: 0.6611409888123909
0-1%
              precision    recall  f1-score   support

           0       0.98      0.79      0.88  12053010
           1       0.12      0.69      0.21    508421

    accuracy                           0.79  12561431
   macro avg       0.55      0.74      0.54  12561431
weighted avg       0.95      0.79      0.85  12561431

Accuracy: 0.7887461229536666
1-10%
              precision    recall  f1-score   support

           0       0.61      0.42      0.50  13368467
           1       0.58      0.75      0.65  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.58      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.590996636751042
10-20%
              precision    recall  f1-score   support

           0       0.16      0.32      0.21    503365
           1       0.88      0.75      0.81   3387274

    accuracy                           0.70   3890639
   macro avg       0.52      0.54      0.51   3890639
weighted avg       0.79      0.70      0.73   3890639

Accuracy: 0.6968156130651032
20-40%
              precision    recall  f1-score   support

           0       0.09      0.32      0.14    147488
           1       0.94      0.75      0.83   1970425

    accuracy                           0.72   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.72      0.78   2117913

Accuracy: 0.7180002200279237
40-80%
              precision    recall  f1-score   support

           0       0.05      0.32      0.08     41616
           1       0.97      0.74      0.84   1064279

    accuracy                           0.73   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.73      0.81   1105895

Accuracy: 0.7285131047703444
80-90%
              precision    recall  f1-score   support

           0       0.03      0.33      0.06      3093
           1       0.98      0.74      0.84    120943

    accuracy                           0.73    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.73      0.82    124036

Accuracy: 0.7316504885678351
90-100%
              precision    recall  f1-score   support

           0       0.03      0.32      0.05      2328
           1       0.98      0.74      0.84     97067

    accuracy                           0.73     99395
   macro avg       0.50      0.53      0.45     99395
weighted avg       0.96      0.73      0.83     99395

Accuracy: 0.7327028522561497

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5914927194523654

              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26119367
           1       0.72      0.16      0.26  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.49  47734596
weighted avg       0.64      0.59      0.51  47734596

Accuracy: 0.5914927194523654
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571873618539162

              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.41      0.13      0.20    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.59  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9571873618539162
1-10%


              precision    recall  f1-score   support

           0       0.50      0.92      0.65  13368467
           1       0.67      0.15      0.25  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.54      0.45  27835287
weighted avg       0.59      0.52      0.44  27835287

Accuracy: 0.5207089116774689
10-20%
              precision    recall  f1-score   support

           0       0.61      0.95      0.75  25924842
           1       0.69      0.16      0.25  18362515

    accuracy                           0.62  44287357
   macro avg       0.65      0.55      0.50  44287357
weighted avg       0.65      0.62      0.54  44287357

Accuracy: 0.6213051503615354

              precision    recall  f1-score   support

           0       0.13      0.85      0.23    503365
           1       0.88      0.17      0.28   3387274

    accuracy                           0.26   3890639
   macro avg       0.51      0.51      0.26   3890639
weighted avg       0.79      0.26      0.28   3890639

Accuracy: 0.25657430566032985
20-40%
              precision    recall  f1-score   support

           0       0.59      0.95      0.73  26072330
           1       0.71      0.16      0.26  20332940

    accuracy                           0.60  46405270
   macro avg       0.65      0.55      0.49  46405270
weighted avg       0.64      0.60      0.52  46405270

Accuracy: 0.602869501675133

              precision    recall  f1-score   support

           0       0.07      0.85      0.13    147488
           1       0.94      0.17      0.29   1970425

    accuracy                           0.22   2117913
   macro avg       0.50      0.51      0.21   2117913
weighted avg       0.88      0.22      0.28   2117913

Accuracy: 0.21736445264748835
40-80%
              precision    recall  f1-score   support

           0       0.58      0.95      0.72  26113946
           1       0.72      0.16      0.26  21397219

    accuracy                           0.59  47511165
   macro avg       0.65      0.55      0.49  47511165
weighted avg       0.64      0.59      0.51  47511165

Accuracy: 0.5933936370535221

              precision    recall  f1-score   support

           0       0.04      0.85      0.07     41616
           1       0.97      0.17      0.29   1064279

    accuracy                           0.20   1105895
   macro avg       0.50      0.51      0.18   1105895
weighted avg       0.93      0.20      0.28   1105895

Accuracy: 0.19576994199268466
80-90%
              precision    recall  f1-score   support

           0       0.03      0.85      0.05      3093
           1       0.98      0.17      0.29    120943

    accuracy                           0.19    124036
   macro avg       0.50      0.51      0.17    124036
weighted avg       0.95      0.19      0.29    124036

Accuracy: 0.18908220194137185
90-100%
              precision    recall  f1-score   support

           0       0.02      0.85      0.05      2328
           1       0.98      0.17      0.29     97067

    accuracy                           0.19     99395
   macro avg       0.50      0.51      0.17     99395
weighted avg       0.96      0.19      0.28     99395

Accuracy: 0.1850193671713869

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.75      0.61      0.68  24893266
           1       0.62      0.76      0.68  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.68      0.68  45456361
weighted avg       0.69      0.68      0.68  45456361

Accuracy: 0.6774471234069969
0-1%
              precision    recall  f1-score   support

           0       1.00      0.95      0.98   4873589
           1       0.01      0.70      0.02      3872

    accuracy                           0.95   4877461
   macro avg       0.51      0.83      0.50   4877461
weighted avg       1.00      0.95      0.98   4877461

Accuracy: 0.9533429380573212
1-10%
              precision    recall  f1-score   support

           0       0.82      0.56      0.67  16949103
           1       0.44      0.75      0.56   8016772

    accuracy                           0.62  24965875
   macro avg       0.63      0.65      0.61  24965875
weighted avg       0.70      0.62      0.63  24965875

Accuracy: 0.619287126928257
10-20%
              precision    recall  f1-score   support

           0       0.38      0.38      0.38   2057494
           1       0.77      0.76      0.76   5461156

    accuracy                           0.66   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.66      0.66   7518650

Accuracy: 0.6589055216029474
20-40%
              precision    recall  f1-score   support

           0       0.22      0.37      0.27    744974
           1       0.87      0.76      0.81   4060539

    accuracy                           0.70   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.70      0.73   4805513

Accuracy: 0.6985753654188429
40-80%
              precision    recall  f1-score   support

           0       0.12      0.37      0.18    235909
           1       0.93      0.75      0.83   2483775

    accuracy                           0.72   2719684
   macro avg       0.52      0.56      0.51   2719684
weighted avg       0.86      0.72      0.77   2719684

Accuracy: 0.7199134164116126
80-90%
              precision    recall  f1-score   support

           0       0.08      0.37      0.14     18577
           1       0.95      0.75      0.84    296772

    accuracy                           0.73    315349
   macro avg       0.52      0.56      0.49    315349
weighted avg       0.90      0.73      0.80    315349

Accuracy: 0.726709138129501
90-100%
              precision    recall  f1-score   support

           0       0.08      0.37      0.13     13620
           1       0.95      0.75      0.84    240209

    accuracy                           0.73    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.73      0.80    253829

Accuracy: 0.7294123208931997

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6248361367950241

              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.74      0.26      0.39  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.56  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.6248361367950241
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988487862845034

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.24      0.21      0.23      3872

    accuracy                           1.00   4877461
   macro avg       0.62      0.61      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9988487862845034
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.25      0.35   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.59      0.58  24965875
weighted avg       0.69      0.71      0.67  24965875

Accuracy: 0.7089933359035083

              precision    recall  f1-score   support

           0       0.77      0.94      0.85  21822692
           1       0.62      0.25      0.35   8020644

    accuracy                           0.76  29843336
   macro avg       0.69      0.60      0.60  29843336
weighted avg       0.73      0.76      0.72  29843336

Accuracy: 0.756366010823991
10-20%
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  23880186
           1       0.68      0.26      0.37  13481800

    accuracy                           0.69  37361986
   macro avg       0.68      0.59      0.58  37361986
weighted avg       0.69      0.69      0.64  37361986

Accuracy: 0.6877995190084382

              precision    recall  f1-score   support

           0       0.29      0.81      0.43   2057494
           1       0.79      0.27      0.40   5461156

    accuracy                           0.42   7518650
   macro avg       0.54      0.54      0.42   7518650
weighted avg       0.65      0.42      0.41   7518650

Accuracy: 0.4156425688122203
20-40%
              precision    recall  f1-score   support

           0       0.64      0.93      0.76  24625160
           1       0.72      0.26      0.38  17542339

    accuracy                           0.65  42167499
   macro avg       0.68      0.59      0.57  42167499
weighted avg       0.67      0.65      0.60  42167499

Accuracy: 0.6493133728419606

              precision    recall  f1-score   support

           0       0.17      0.79      0.27    744974
           1       0.87      0.27      0.41   4060539

    accuracy                           0.35   4805513
   macro avg       0.52      0.53      0.34   4805513
weighted avg       0.76      0.35      0.39   4805513

Accuracy: 0.35009061467526986
40-80%
              precision    recall  f1-score   support

           0       0.09      0.78      0.17    235909
           1       0.93      0.27      0.42   2483775

    accuracy                           0.31   2719684
   macro avg       0.51      0.53      0.29   2719684
weighted avg       0.86      0.31      0.40   2719684

Accuracy: 0.31396735797247033

              precision    recall  f1-score   support

           0       0.61      0.93      0.73  24861069
           1       0.74      0.26      0.39  20026114

    accuracy                           0.63  44887183
   macro avg       0.67      0.59      0.56  44887183
weighted avg       0.67      0.63      0.58  44887183

Accuracy: 0.6289949850495185
80-90%
              precision    recall  f1-score   support

           0       0.06      0.79      0.12     18577
           1       0.95      0.27      0.42    296772

    accuracy                           0.30    315349
   macro avg       0.51      0.53      0.27    315349
weighted avg       0.90      0.30      0.40    315349

Accuracy: 0.29791437423299266
90-100%
              precision    recall  f1-score   support

           0       0.06      0.79      0.11     13620
           1       0.96      0.27      0.42    240209

    accuracy                           0.30    253829
   macro avg       0.51      0.53      0.26    253829
weighted avg       0.91      0.30      0.40    253829

Accuracy: 0.29554148659136664

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.78      0.68      0.73  22531902
           1       0.64      0.75      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.71  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.708778291121913
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9997290320832465
1-10%
              precision    recall  f1-score   support

           0       0.96      0.77      0.86  11439888
           1       0.26      0.72      0.38   1271288

    accuracy                           0.77  12711176
   macro avg       0.61      0.75      0.62  12711176
weighted avg       0.89      0.77      0.81  12711176

Accuracy: 0.7678158968139533
10-20%
              precision    recall  f1-score   support

           0       0.74      0.54      0.62   5044441
           1       0.55      0.75      0.64   3812372

    accuracy                           0.63   8856813
   macro avg       0.65      0.64      0.63   8856813
weighted avg       0.66      0.63      0.63   8856813

Accuracy: 0.6299312179222932
20-40%
              precision    recall  f1-score   support

           0       0.52      0.48      0.50   2995598
           1       0.73      0.76      0.74   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.62      0.62   8578813
weighted avg       0.66      0.66      0.66   8578813

Accuracy: 0.6623895403711446
40-80%
              precision    recall  f1-score   support

           0       0.33      0.47      0.38   1295061
           1       0.84      0.75      0.80   5001564

    accuracy                           0.69   6296625
   macro avg       0.59      0.61      0.59   6296625
weighted avg       0.74      0.69      0.71   6296625

Accuracy: 0.6928008258392393
80-90%
              precision    recall  f1-score   support

           0       0.24      0.46      0.31    117971
           1       0.89      0.75      0.81    692761

    accuracy                           0.70    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.80      0.70      0.74    810732

Accuracy: 0.7045336806737615
90-100%
              precision    recall  f1-score   support

           0       0.22      0.46      0.30     88944
           1       0.90      0.74      0.82    577496

    accuracy                           0.71    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.71      0.75    666440

Accuracy: 0.7071709381189605

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217

              precision    recall  f1-score   support

           0       0.66      0.93      0.77  22531902
           1       0.79      0.36      0.49  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.63  39470598
weighted avg       0.71      0.68      0.65  39470598

Accuracy: 0.6835438621933217
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.94      0.97      0.95  12989887
           1       0.55      0.32      0.40   1271288

    accuracy                           0.92  14261175
   macro avg       0.74      0.65      0.68  14261175
weighted avg       0.90      0.92      0.91  14261175

Accuracy: 0.9159759276497204

              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.55      0.32      0.40   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.64      0.68  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.905730044175299
10-20%
              precision    recall  f1-score   support

           0       0.84      0.95      0.89  18034328
           1       0.66      0.34      0.45   5083660

    accuracy                           0.82  23117988
   macro avg       0.75      0.65      0.67  23117988
weighted avg       0.80      0.82      0.79  23117988

Accuracy: 0.8174393463652633

              precision    recall  f1-score   support

           0       0.65      0.89      0.75   5044441
           1       0.71      0.35      0.47   3812372

    accuracy                           0.66   8856813
   macro avg       0.68      0.62      0.61   8856813
weighted avg       0.67      0.66      0.63   8856813

Accuracy: 0.6587764695946499
20-40%
              precision    recall  f1-score   support

           0       0.74      0.93      0.83  21029926
           1       0.74      0.36      0.48  10666875

    accuracy                           0.74  31696801
   macro avg       0.74      0.65      0.65  31696801
weighted avg       0.74      0.74      0.71  31696801

Accuracy: 0.7404618844658803

              precision    recall  f1-score   support

           0       0.42      0.84      0.56   2995598
           1       0.81      0.37      0.51   5583215

    accuracy                           0.53   8578813
   macro avg       0.61      0.60      0.53   8578813
weighted avg       0.67      0.53      0.52   8578813

Accuracy: 0.5330247902594449
40-80%
              precision    recall  f1-score   support

           0       0.67      0.93      0.78  22324987
           1       0.78      0.36      0.49  15668439

    accuracy                           0.69  37993426
   macro avg       0.73      0.64      0.64  37993426
weighted avg       0.72      0.69      0.66  37993426

Accuracy: 0.6936507647401948

              precision    recall  f1-score   support

           0       0.25      0.80      0.38   1295061
           1       0.88      0.37      0.52   5001564

    accuracy                           0.46   6296625
   macro avg       0.56      0.59      0.45   6296625
weighted avg       0.75      0.46      0.49   6296625

Accuracy: 0.45800663053619994
80-90%
              precision    recall  f1-score   support

           0       0.18      0.79      0.29    117971
           1       0.91      0.36      0.52    692761

    accuracy                           0.43    810732
   macro avg       0.54      0.58      0.40    810732
weighted avg       0.80      0.43      0.49    810732

Accuracy: 0.4261025838378157
90-100%
              precision    recall  f1-score   support

           0       0.16      0.79      0.27     88944
           1       0.92      0.36      0.52    577496

    accuracy                           0.42    666440
   macro avg       0.54      0.58      0.39    666440
weighted avg       0.82      0.42      0.49    666440

Accuracy: 0.4205344817237861

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.85      0.01      0.02  16938696

    accuracy                           0.57  39470598
   macro avg       0.71      0.50      0.37  39470598
weighted avg       0.69      0.57      0.42  39470598

Accuracy: 0.5739564928811061
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.78      0.01      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.84      0.50      0.48  12711176
weighted avg       0.89      0.90      0.85  12711176

Accuracy: 0.9004601934549565
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.80      0.01      0.02   3812372

    accuracy                           0.57   8856813
   macro avg       0.69      0.50      0.37   8856813
weighted avg       0.67      0.57      0.42   8856813

Accuracy: 0.5722238913704061
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.84      0.01      0.02   5583215

    accuracy                           0.35   8578813
   macro avg       0.60      0.50      0.27   8578813
weighted avg       0.67      0.35      0.19   8578813

Accuracy: 0.35400911524706274
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.89      0.01      0.02   5001564

    accuracy                           0.21   6296625
   macro avg       0.55      0.50      0.18   6296625
weighted avg       0.75      0.21      0.08   6296625

Accuracy: 0.212158259384988
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.92      0.01      0.02    692761

    accuracy                           0.15    810732
   macro avg       0.53      0.50      0.14    810732
weighted avg       0.81      0.15      0.05    810732

Accuracy: 0.15274344666301565
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.93      0.01      0.02    577496

    accuracy                           0.14    666440
   macro avg       0.53      0.50      0.13    666440
weighted avg       0.83      0.14      0.05    666440

Accuracy: 0.14063681651761598

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_decay_vtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.38      0.51  28055468
           1       0.52      0.87      0.65  21729815

    accuracy                           0.59  49785283
   macro avg       0.65      0.62      0.58  49785283
weighted avg       0.67      0.59      0.57  49785283

Accuracy: 0.5935840718229923
0-1%
              precision    recall  f1-score   support

           0       0.82      0.38      0.52  27764588
           1       0.46      0.87      0.60  17098553

    accuracy                           0.57  44863141
   macro avg       0.64      0.63      0.56  44863141
weighted avg       0.69      0.57      0.55  44863141

Accuracy: 0.567638788376409
1-10%
              precision    recall  f1-score   support

           0       0.07      0.15      0.10    287564
           1       0.94      0.87      0.90   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.51      0.50   4452351
weighted avg       0.88      0.83      0.85   4452351

Accuracy: 0.8263461259006758
10-20%
              precision    recall  f1-score   support

           0       0.01      0.15      0.02      2455
           1       0.99      0.87      0.93    257616

    accuracy                           0.86    260071
   macro avg       0.50      0.51      0.47    260071
weighted avg       0.98      0.86      0.92    260071

Accuracy: 0.8630489366365338
20-40%
              precision    recall  f1-score   support

           0       0.01      0.18      0.01       659
           1       1.00      0.87      0.93    130568

    accuracy                           0.87    131227
   macro avg       0.50      0.53      0.47    131227
weighted avg       0.99      0.87      0.92    131227

Accuracy: 0.8678930403042057
40-80%
              precision    recall  f1-score   support

           0       0.00      0.19      0.01       169
           1       1.00      0.87      0.93     65234

    accuracy                           0.87     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.87      0.93     65403

Accuracy: 0.8676666207972111
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.87      0.93      7371

    accuracy                           0.87      7386
   macro avg       0.50      0.50      0.47      7386
weighted avg       1.00      0.87      0.93      7386

Accuracy: 0.8696181965881398
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.01        18
           1       1.00      0.88      0.93      5686

    accuracy                           0.88      5704
   macro avg       0.50      0.58      0.47      5704
weighted avg       0.99      0.88      0.93      5704

Accuracy: 0.8753506311360448

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055468
           1       0.64      0.34      0.44  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.59      0.58  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6273655208508104

              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055468
           1       0.64      0.34      0.44  21729815

    accuracy                           0.63  49785283
   macro avg       0.63      0.59      0.58  49785283
weighted avg       0.63      0.63      0.60  49785283

Accuracy: 0.6273655208508104
0-1%
              precision    recall  f1-score   support

           0       0.67      0.85      0.75  27764588
           1       0.58      0.33      0.42  17098553

    accuracy                           0.65  44863141
   macro avg       0.63      0.59      0.59  44863141
weighted avg       0.64      0.65      0.63  44863141

Accuracy: 0.6542890075396193

              precision    recall  f1-score   support

           0       0.67      0.85      0.75  27764588
           1       0.58      0.33      0.42  17098553

    accuracy                           0.65  44863141
   macro avg       0.63      0.59      0.59  44863141
weighted avg       0.64      0.65      0.63  44863141

Accuracy: 0.6542890075396193
1-10%
              precision    recall  f1-score   support

           0       0.07      0.65      0.12    287564
           1       0.94      0.37      0.53   4164787

    accuracy                           0.38   4452351
   macro avg       0.50      0.51      0.32   4452351
weighted avg       0.88      0.38      0.50   4452351

Accuracy: 0.3832494338384373

              precision    recall  f1-score   support

           0       0.63      0.85      0.72  28052152
           1       0.63      0.34      0.44  21263340

    accuracy                           0.63  49315492
   macro avg       0.63      0.59      0.58  49315492
weighted avg       0.63      0.63      0.60  49315492

Accuracy: 0.629818739312182
10-20%
              precision    recall  f1-score   support

           0       0.63      0.85      0.72  28054607
           1       0.64      0.34      0.44  21520956

    accuracy                           0.63  49575563
   macro avg       0.63      0.59      0.58  49575563
weighted avg       0.63      0.63      0.60  49575563

Accuracy: 0.628455757527151

              precision    recall  f1-score   support

           0       0.01      0.63      0.02      2455
           1       0.99      0.37      0.54    257616

    accuracy                           0.37    260071
   macro avg       0.50      0.50      0.28    260071
weighted avg       0.98      0.37      0.53    260071

Accuracy: 0.370002806925801
20-40%
              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055266
           1       0.64      0.34      0.44  21651524

    accuracy                           0.63  49706790
   macro avg       0.63      0.59      0.58  49706790
weighted avg       0.63      0.63      0.60  49706790

Accuracy: 0.6277698077063516

              precision    recall  f1-score   support

           0       0.01      0.67      0.01       659
           1       1.00      0.37      0.54    130568

    accuracy                           0.37    131227
   macro avg       0.50      0.52      0.27    131227
weighted avg       0.99      0.37      0.53    131227

Accuracy: 0.36862840726374907
40-80%
              precision    recall  f1-score   support

           0       0.62      0.85      0.72  28055435
           1       0.64      0.34      0.44  21716758

    accuracy                           0.63  49772193
   macro avg       0.63      0.59      0.58  49772193
weighted avg       0.63      0.63      0.60  49772193

Accuracy: 0.6274344190540289

              precision    recall  f1-score   support

           0       0.00      0.64      0.01       169
           1       1.00      0.37      0.54     65234

    accuracy                           0.37     65403
   macro avg       0.50      0.51      0.27     65403
weighted avg       0.99      0.37      0.54     65403

Accuracy: 0.37253642799259973
80-90%
              precision    recall  f1-score   support

           0       0.00      0.40      0.00        15
           1       1.00      0.36      0.53      7371

    accuracy                           0.36      7386
   macro avg       0.50      0.38      0.26      7386
weighted avg       0.99      0.36      0.53      7386

Accuracy: 0.3577037638776063
90-100%
              precision    recall  f1-score   support

           0       0.00      0.67      0.01        18
           1       1.00      0.37      0.54      5686

    accuracy                           0.38      5704
   macro avg       0.50      0.52      0.28      5704
weighted avg       0.99      0.38      0.54      5704

Accuracy: 0.3753506311360449

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.43      0.56  26119367
           1       0.56      0.86      0.68  21615229

    accuracy                           0.63  47734596
   macro avg       0.67      0.65      0.62  47734596
weighted avg       0.68      0.63      0.61  47734596

Accuracy: 0.626161159926859
0-1%
              precision    recall  f1-score   support

           0       0.99      0.63      0.77  12053010
           1       0.09      0.82      0.16    508421

    accuracy                           0.64  12561431
   macro avg       0.54      0.73      0.46  12561431
weighted avg       0.95      0.64      0.75  12561431

Accuracy: 0.6417771191833159
1-10%
              precision    recall  f1-score   support

           0       0.64      0.27      0.37  13368467
           1       0.56      0.86      0.68  14466820

    accuracy                           0.57  27835287
   macro avg       0.60      0.56      0.53  27835287
weighted avg       0.60      0.57      0.53  27835287

Accuracy: 0.5741645846870557
10-20%
              precision    recall  f1-score   support

           0       0.18      0.20      0.19    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.78   3890639

Accuracy: 0.7759977217110094
20-40%
              precision    recall  f1-score   support

           0       0.10      0.20      0.13    147488
           1       0.94      0.86      0.89   1970425

    accuracy                           0.81   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.81      0.84   2117913

Accuracy: 0.8124006982345356
40-80%
              precision    recall  f1-score   support

           0       0.05      0.21      0.09     41616
           1       0.97      0.86      0.91   1064279

    accuracy                           0.83   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.83      0.88   1105895

Accuracy: 0.8309532098436109
80-90%
              precision    recall  f1-score   support

           0       0.04      0.22      0.06      3093
           1       0.98      0.85      0.91    120943

    accuracy                           0.84    124036
   macro avg       0.51      0.54      0.49    124036
weighted avg       0.95      0.84      0.89    124036

Accuracy: 0.8368054435808958
90-100%
              precision    recall  f1-score   support

           0       0.03      0.21      0.06      2328
           1       0.98      0.85      0.91     97067

    accuracy                           0.84     99395
   macro avg       0.51      0.53      0.48     99395
weighted avg       0.96      0.84      0.89     99395

Accuracy: 0.8392072035816691

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.51      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618385751080831

              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26119367
           1       0.66      0.51      0.58  21615229

    accuracy                           0.66  47734596
   macro avg       0.66      0.65      0.65  47734596
weighted avg       0.66      0.66      0.65  47734596

Accuracy: 0.6618385751080831
0-1%
              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9104785115644866

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.45      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9104785115644866
1-10%
              precision    recall  f1-score   support

           0       0.73      0.79      0.76  25421477
           1       0.59      0.51      0.55  14975241

    accuracy                           0.69  40396718
   macro avg       0.66      0.65      0.65  40396718
weighted avg       0.68      0.69      0.68  40396718

Accuracy: 0.6866671198387948

              precision    recall  f1-score   support

           0       0.56      0.67      0.61  13368467
           1       0.62      0.51      0.56  14466820

    accuracy                           0.59  27835287
   macro avg       0.59      0.59      0.58  27835287
weighted avg       0.59      0.59      0.58  27835287

Accuracy: 0.5856661366559648
10-20%
              precision    recall  f1-score   support

           0       0.69      0.79      0.74  25924842
           1       0.63      0.51      0.57  18362515

    accuracy                           0.67  44287357
   macro avg       0.66      0.65      0.65  44287357
weighted avg       0.67      0.67      0.67  44287357

Accuracy: 0.6726487426197052

              precision    recall  f1-score   support

           0       0.14      0.53      0.22    503365
           1       0.88      0.53      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.51      0.53      0.44   3890639
weighted avg       0.79      0.53      0.60   3890639

Accuracy: 0.5270951635451143
20-40%
              precision    recall  f1-score   support

           0       0.67      0.78      0.73  26072330
           1       0.65      0.51      0.57  20332940

    accuracy                           0.67  46405270
   macro avg       0.66      0.65      0.65  46405270
weighted avg       0.66      0.67      0.66  46405270

Accuracy: 0.6658570028791988

              precision    recall  f1-score   support

           0       0.08      0.53      0.13    147488
           1       0.94      0.52      0.67   1970425

    accuracy                           0.52   2117913
   macro avg       0.51      0.52      0.40   2117913
weighted avg       0.88      0.52      0.63   2117913

Accuracy: 0.5238359649334038
40-80%
              precision    recall  f1-score   support

           0       0.66      0.78      0.72  26113946
           1       0.66      0.51      0.58  21397219

    accuracy                           0.66  47511165
   macro avg       0.66      0.65      0.65  47511165
weighted avg       0.66      0.66      0.66  47511165

Accuracy: 0.6625068233961428

              precision    recall  f1-score   support

           0       0.04      0.53      0.08     41616
           1       0.97      0.52      0.68   1064279

    accuracy                           0.52   1105895
   macro avg       0.50      0.53      0.38   1105895
weighted avg       0.93      0.52      0.65   1105895

Accuracy: 0.5219274885952102
80-90%
              precision    recall  f1-score   support

           0       0.03      0.54      0.05      3093
           1       0.98      0.52      0.68    120943

    accuracy                           0.52    124036
   macro avg       0.50      0.53      0.37    124036
weighted avg       0.95      0.52      0.66    124036

Accuracy: 0.5201957496210777
90-100%
              precision    recall  f1-score   support

           0       0.03      0.52      0.05      2328
           1       0.98      0.52      0.68     97067

    accuracy                           0.52     99395
   macro avg       0.50      0.52      0.36     99395
weighted avg       0.96      0.52      0.66     99395

Accuracy: 0.5191709844559586

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      0.96      0.72  26119367
           1       0.73      0.14      0.24  21615229

    accuracy                           0.59  47734596
   macro avg       0.65      0.55      0.48  47734596
weighted avg       0.64      0.59      0.50  47734596

Accuracy: 0.587386473324295
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.98  12053010
           1       0.42      0.12      0.19    508421

    accuracy                           0.96  12561431
   macro avg       0.69      0.56      0.58  12561431
weighted avg       0.94      0.96      0.95  12561431

Accuracy: 0.9577317265843358
1-10%
              precision    recall  f1-score   support

           0       0.50      0.93      0.65  13368467
           1       0.67      0.14      0.23  14466820

    accuracy                           0.52  27835287
   macro avg       0.58      0.53      0.44  27835287
weighted avg       0.59      0.52      0.43  27835287

Accuracy: 0.5170108718476659
10-20%
              precision    recall  f1-score   support

           0       0.13      0.87      0.23    503365
           1       0.88      0.15      0.26   3387274

    accuracy                           0.24   3890639
   macro avg       0.51      0.51      0.24   3890639
weighted avg       0.79      0.24      0.25   3890639

Accuracy: 0.2440750735290527
20-40%
              precision    recall  f1-score   support

           0       0.07      0.86      0.13    147488
           1       0.94      0.15      0.26   1970425

    accuracy                           0.20   2117913
   macro avg       0.50      0.51      0.20   2117913
weighted avg       0.88      0.20      0.25   2117913

Accuracy: 0.20287991055345522
40-80%
              precision    recall  f1-score   support

           0       0.04      0.87      0.07     41616
           1       0.97      0.15      0.27   1064279

    accuracy                           0.18   1105895
   macro avg       0.50      0.51      0.17   1105895
weighted avg       0.93      0.18      0.26   1105895

Accuracy: 0.18037969246628296
80-90%
              precision    recall  f1-score   support

           0       0.03      0.87      0.05      3093
           1       0.98      0.16      0.27    120943

    accuracy                           0.17    124036
   macro avg       0.50      0.51      0.16    124036
weighted avg       0.95      0.17      0.26    124036

Accuracy: 0.1727804830855558
90-100%
              precision    recall  f1-score   support

           0       0.02      0.86      0.05      2328
           1       0.98      0.15      0.26     97067

    accuracy                           0.17     99395
   macro avg       0.50      0.51      0.16     99395
weighted avg       0.96      0.17      0.26     99395

Accuracy: 0.16929423009205694

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.46      0.58  24893266
           1       0.57      0.86      0.68  20563095

    accuracy                           0.64  45456361
   macro avg       0.68      0.66      0.63  45456361
weighted avg       0.69      0.64      0.63  45456361

Accuracy: 0.640098995165935
0-1%
              precision    recall  f1-score   support

           0       1.00      0.87      0.93   4873589
           1       0.01      0.82      0.01      3872

    accuracy                           0.87   4877461
   macro avg       0.50      0.84      0.47   4877461
weighted avg       1.00      0.87      0.93   4877461

Accuracy: 0.8715846215889783
1-10%
              precision    recall  f1-score   support

           0       0.85      0.39      0.53  16949103
           1       0.40      0.85      0.54   8016772

    accuracy                           0.54  24965875
   macro avg       0.62      0.62      0.53  24965875
weighted avg       0.70      0.54      0.53  24965875

Accuracy: 0.5350006358679598
10-20%
              precision    recall  f1-score   support

           0       0.39      0.24      0.30   2057494
           1       0.75      0.86      0.80   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.55      0.55   7518650
weighted avg       0.65      0.69      0.66   7518650

Accuracy: 0.6908875928524403
20-40%
              precision    recall  f1-score   support

           0       0.23      0.23      0.23    744974
           1       0.86      0.86      0.86   4060539

    accuracy                           0.76   4805513
   macro avg       0.54      0.54      0.54   4805513
weighted avg       0.76      0.76      0.76   4805513

Accuracy: 0.760439312098417
40-80%
              precision    recall  f1-score   support

           0       0.13      0.23      0.17    235909
           1       0.92      0.85      0.89   2483775

    accuracy                           0.80   2719684
   macro avg       0.53      0.54      0.53   2719684
weighted avg       0.85      0.80      0.82   2719684

Accuracy: 0.799854689000634
80-90%
              precision    recall  f1-score   support

           0       0.09      0.24      0.13     18577
           1       0.95      0.85      0.90    296772

    accuracy                           0.81    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.81      0.85    315349

Accuracy: 0.8145134438352428
90-100%
              precision    recall  f1-score   support

           0       0.08      0.24      0.12     13620
           1       0.95      0.85      0.90    240209

    accuracy                           0.82    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.82      0.86    253829

Accuracy: 0.8180349763029441

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.683884440287686

              precision    recall  f1-score   support

           0       0.68      0.78      0.73  24893266
           1       0.68      0.56      0.62  20563095

    accuracy                           0.68  45456361
   macro avg       0.68      0.67      0.67  45456361
weighted avg       0.68      0.68      0.68  45456361

Accuracy: 0.683884440287686
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.05      0.49      0.09      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.74      0.54   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.991675791974554
1-10%
              precision    recall  f1-score   support

           0       0.78      0.76      0.77  16949103
           1       0.53      0.55      0.54   8016772

    accuracy                           0.70  24965875
   macro avg       0.65      0.66      0.66  24965875
weighted avg       0.70      0.70      0.70  24965875

Accuracy: 0.6958938951669028

              precision    recall  f1-score   support

           0       0.83      0.81      0.82  21822692
           1       0.52      0.55      0.54   8020644

    accuracy                           0.74  29843336
   macro avg       0.68      0.68      0.68  29843336
weighted avg       0.75      0.74      0.75  29843336

Accuracy: 0.7442351619135341
10-20%
              precision    recall  f1-score   support

           0       0.76      0.79      0.78  23880186
           1       0.61      0.56      0.58  13481800

    accuracy                           0.71  37361986
   macro avg       0.68      0.68      0.68  37361986
weighted avg       0.71      0.71      0.71  37361986

Accuracy: 0.7097588709550933

              precision    recall  f1-score   support

           0       0.33      0.57      0.42   2057494
           1       0.78      0.58      0.66   5461156

    accuracy                           0.57   7518650
   macro avg       0.56      0.57      0.54   7518650
weighted avg       0.66      0.57      0.60   7518650

Accuracy: 0.5729141534717004
20-40%
              precision    recall  f1-score   support

           0       0.72      0.79      0.75  24625160
           1       0.65      0.56      0.60  17542339

    accuracy                           0.69  42167499
   macro avg       0.68      0.67      0.68  42167499
weighted avg       0.69      0.69      0.69  42167499

Accuracy: 0.6934554975622339

              precision    recall  f1-score   support

           0       0.19      0.54      0.28    744974
           1       0.87      0.57      0.69   4060539

    accuracy                           0.57   4805513
   macro avg       0.53      0.56      0.48   4805513
weighted avg       0.77      0.57      0.63   4805513

Accuracy: 0.566699746728393
40-80%
              precision    recall  f1-score   support

           0       0.10      0.54      0.17    235909
           1       0.93      0.56      0.70   2483775

    accuracy                           0.56   2719684
   macro avg       0.52      0.55      0.44   2719684
weighted avg       0.86      0.56      0.66   2719684

Accuracy: 0.5617696761829684

              precision    recall  f1-score   support

           0       0.69      0.78      0.73  24861069
           1       0.68      0.56      0.62  20026114

    accuracy                           0.69  44887183
   macro avg       0.68      0.67      0.67  44887183
weighted avg       0.68      0.69      0.68  44887183

Accuracy: 0.685476742882261
80-90%
              precision    recall  f1-score   support

           0       0.07      0.54      0.13     18577
           1       0.95      0.56      0.70    296772

    accuracy                           0.56    315349
   macro avg       0.51      0.55      0.42    315349
weighted avg       0.90      0.56      0.67    315349

Accuracy: 0.5585335612289876
90-100%
              precision    recall  f1-score   support

           0       0.06      0.54      0.12     13620
           1       0.96      0.56      0.71    240209

    accuracy                           0.56    253829
   macro avg       0.51      0.55      0.41    253829
weighted avg       0.91      0.56      0.67    253829

Accuracy: 0.5580331640592683

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.60      0.93      0.73  24893266
           1       0.75      0.24      0.37  20563095

    accuracy                           0.62  45456361
   macro avg       0.67      0.59      0.55  45456361
weighted avg       0.67      0.62      0.57  45456361

Accuracy: 0.620370425164478
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.26      0.20      0.22      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.60      0.61   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9989150092640413
1-10%
              precision    recall  f1-score   support

           0       0.72      0.93      0.81  16949103
           1       0.62      0.23      0.34   8016772

    accuracy                           0.71  24965875
   macro avg       0.67      0.58      0.58  24965875
weighted avg       0.69      0.71      0.66  24965875

Accuracy: 0.7076238665778788
10-20%
              precision    recall  f1-score   support

           0       0.29      0.82      0.43   2057494
           1       0.79      0.25      0.38   5461156

    accuracy                           0.41   7518650
   macro avg       0.54      0.54      0.41   7518650
weighted avg       0.65      0.41      0.39   7518650

Accuracy: 0.40682888550471163
20-40%
              precision    recall  f1-score   support

           0       0.16      0.80      0.27    744974
           1       0.87      0.25      0.39   4060539

    accuracy                           0.34   4805513
   macro avg       0.52      0.53      0.33   4805513
weighted avg       0.76      0.34      0.37   4805513

Accuracy: 0.3381197803439508
40-80%
              precision    recall  f1-score   support

           0       0.09      0.80      0.17    235909
           1       0.93      0.25      0.40   2483775

    accuracy                           0.30   2719684
   macro avg       0.51      0.53      0.28   2719684
weighted avg       0.86      0.30      0.38   2719684

Accuracy: 0.30031577197939174
80-90%
              precision    recall  f1-score   support

           0       0.06      0.80      0.12     18577
           1       0.95      0.25      0.40    296772

    accuracy                           0.28    315349
   macro avg       0.51      0.53      0.26    315349
weighted avg       0.90      0.28      0.38    315349

Accuracy: 0.2837491160587159
90-100%
              precision    recall  f1-score   support

           0       0.06      0.80      0.11     13620
           1       0.96      0.25      0.40    240209

    accuracy                           0.28    253829
   macro avg       0.51      0.53      0.25    253829
weighted avg       0.91      0.28      0.38    253829

Accuracy: 0.28080715757458763

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.81      0.54      0.65  22531902
           1       0.58      0.84      0.68  16938696

    accuracy                           0.67  39470598
   macro avg       0.70      0.69      0.67  39470598
weighted avg       0.71      0.67      0.66  39470598

Accuracy: 0.6673695696224313
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9968799979870955
1-10%
              precision    recall  f1-score   support

           0       0.97      0.63      0.77  11439888
           1       0.20      0.81      0.32   1271288

    accuracy                           0.65  12711176
   macro avg       0.58      0.72      0.54  12711176
weighted avg       0.89      0.65      0.72  12711176

Accuracy: 0.6523933741457124
10-20%
              precision    recall  f1-score   support

           0       0.75      0.38      0.50   5044441
           1       0.50      0.83      0.63   3812372

    accuracy                           0.57   8856813
   macro avg       0.63      0.61      0.57   8856813
weighted avg       0.65      0.57      0.56   8856813

Accuracy: 0.5749049912197537
20-40%
              precision    recall  f1-score   support

           0       0.53      0.33      0.40   2995598
           1       0.70      0.84      0.76   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.59      0.58   8578813
weighted avg       0.64      0.66      0.64   8578813

Accuracy: 0.6626296668315302
40-80%
              precision    recall  f1-score   support

           0       0.33      0.31      0.32   1295061
           1       0.82      0.84      0.83   5001564

    accuracy                           0.73   6296625
   macro avg       0.58      0.58      0.58   6296625
weighted avg       0.72      0.73      0.73   6296625

Accuracy: 0.7308189704802176
80-90%
              precision    recall  f1-score   support

           0       0.24      0.31      0.27    117971
           1       0.88      0.84      0.86    692761

    accuracy                           0.76    810732
   macro avg       0.56      0.57      0.56    810732
weighted avg       0.78      0.76      0.77    810732

Accuracy: 0.7594507186098489
90-100%
              precision    recall  f1-score   support

           0       0.22      0.31      0.26     88944
           1       0.89      0.84      0.86    577496

    accuracy                           0.76    666440
   macro avg       0.56      0.57      0.56    666440
weighted avg       0.80      0.76      0.78    666440

Accuracy: 0.7649900966328552

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166907377486401

              precision    recall  f1-score   support

           0       0.72      0.82      0.77  22531902
           1       0.71      0.58      0.64  16938696

    accuracy                           0.72  39470598
   macro avg       0.71      0.70      0.70  39470598
weighted avg       0.72      0.72      0.71  39470598

Accuracy: 0.7166907377486401
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9999961290297606
1-10%


              precision    recall  f1-score   support

           0       0.95      0.90      0.92  11439888
           1       0.37      0.54      0.44   1271288

    accuracy                           0.86  12711176
   macro avg       0.66      0.72      0.68  12711176
weighted avg       0.89      0.86      0.87  12711176

Accuracy: 0.8632954968131981
10-20%
              precision    recall  f1-score   support

           0       0.87      0.86      0.87  18034328
           1       0.53      0.56      0.55   5083660

    accuracy                           0.80  23117988
   macro avg       0.70      0.71      0.71  23117988
weighted avg       0.80      0.80      0.80  23117988

Accuracy: 0.7951106731260523

              precision    recall  f1-score   support

           0       0.69      0.73      0.71   5044441
           1       0.61      0.57      0.59   3812372

    accuracy                           0.66   8856813
   macro avg       0.65      0.65      0.65   8856813
weighted avg       0.66      0.66      0.66   8856813

Accuracy: 0.6613964865239901
20-40%
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  21029926
           1       0.64      0.58      0.60  10666875

    accuracy                           0.75  31696801
   macro avg       0.72      0.70      0.71  31696801
weighted avg       0.74      0.75      0.74  31696801

Accuracy: 0.7466097603982181

              precision    recall  f1-score   support

           0       0.47      0.67      0.55   2995598
           1       0.77      0.59      0.67   5583215

    accuracy                           0.62   8578813
   macro avg       0.62      0.63      0.61   8578813
weighted avg       0.66      0.62      0.62   8578813

Accuracy: 0.61591061607241
40-80%
              precision    recall  f1-score   support

           0       0.74      0.82      0.78  22324987
           1       0.70      0.58      0.63  15668439

    accuracy                           0.72  37993426
   macro avg       0.72      0.70      0.70  37993426
weighted avg       0.72      0.72      0.72  37993426

Accuracy: 0.7217266218634771

              precision    recall  f1-score   support

           0       0.29      0.64      0.39   1295061
           1       0.86      0.59      0.70   5001564

    accuracy                           0.60   6296625
   macro avg       0.57      0.61      0.55   6296625
weighted avg       0.74      0.60      0.64   6296625

Accuracy: 0.5964665197625713
80-90%
              precision    recall  f1-score   support

           0       0.20      0.63      0.31    117971
           1       0.90      0.58      0.71    692761

    accuracy                           0.59    810732
   macro avg       0.55      0.61      0.51    810732
weighted avg       0.80      0.59      0.65    810732

Accuracy: 0.5876837228578617
90-100%
              precision    recall  f1-score   support

           0       0.19      0.63      0.29     88944
           1       0.91      0.58      0.71    577496

    accuracy                           0.59    666440
   macro avg       0.55      0.61      0.50    666440
weighted avg       0.81      0.59      0.65    666440

Accuracy: 0.5865359222135527

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.65      0.93      0.77  22531902
           1       0.79      0.34      0.47  16938696

    accuracy                           0.68  39470598
   macro avg       0.72      0.64      0.62  39470598
weighted avg       0.71      0.68      0.64  39470598

Accuracy: 0.6773175060585603
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.93      0.97      0.95  11439888
           1       0.56      0.29      0.39   1271288

    accuracy                           0.91  12711176
   macro avg       0.74      0.63      0.67  12711176
weighted avg       0.89      0.91      0.89  12711176

Accuracy: 0.9062287391819608
10-20%
              precision    recall  f1-score   support

           0       0.64      0.90      0.75   5044441
           1       0.71      0.33      0.45   3812372

    accuracy                           0.65   8856813
   macro avg       0.67      0.61      0.60   8856813
weighted avg       0.67      0.65      0.62   8856813

Accuracy: 0.6536779087466338
20-40%
              precision    recall  f1-score   support

           0       0.41      0.85      0.55   2995598
           1       0.81      0.35      0.49   5583215

    accuracy                           0.52   8578813
   macro avg       0.61      0.60      0.52   8578813
weighted avg       0.67      0.52      0.51   8578813

Accuracy: 0.5221699085875866
40-80%
              precision    recall  f1-score   support

           0       0.24      0.82      0.38   1295061
           1       0.88      0.35      0.50   5001564

    accuracy                           0.44   6296625
   macro avg       0.56      0.58      0.44   6296625
weighted avg       0.75      0.44      0.47   6296625

Accuracy: 0.44367514343001213
80-90%
              precision    recall  f1-score   support

           0       0.17      0.81      0.28    117971
           1       0.91      0.34      0.50    692761

    accuracy                           0.41    810732
   macro avg       0.54      0.57      0.39    810732
weighted avg       0.80      0.41      0.47    810732

Accuracy: 0.4102551768031853
90-100%
              precision    recall  f1-score   support

           0       0.16      0.81      0.27     88944
           1       0.92      0.34      0.50    577496

    accuracy                           0.40    666440
   macro avg       0.54      0.57      0.38    666440
weighted avg       0.82      0.40      0.47    666440

Accuracy: 0.40443400756257125

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_9_id

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.50      0.65  28055468
           1       0.60      0.95      0.73  21729815

    accuracy                           0.70  49785283
   macro avg       0.76      0.73      0.69  49785283
weighted avg       0.78      0.70      0.69  49785283

Accuracy: 0.6972257444032205
0-1%
              precision    recall  f1-score   support

           0       0.93      0.51      0.66  27764588
           1       0.54      0.93      0.68  17098553

    accuracy                           0.67  44863141
   macro avg       0.73      0.72      0.67  44863141
weighted avg       0.78      0.67      0.67  44863141

Accuracy: 0.6705027630588772
1-10%
              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9352914898218941
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691977968669979

              precision    recall  f1-score   support

           0       0.82      0.75      0.79  28055468
           1       0.71      0.79      0.75  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.77      0.77  49785283
weighted avg       0.77      0.77      0.77  49785283

Accuracy: 0.7691977968669979
0-1%
              precision    recall  f1-score   support

           0       0.82      0.76      0.79  27764588
           1       0.65      0.74      0.69  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.75      0.74  44863141
weighted avg       0.76      0.75      0.75  44863141

Accuracy: 0.7504096960130366
1-10%


              precision    recall  f1-score   support

           0       0.09      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.934903604859545
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.87      0.81  28055468
           1       0.79      0.64      0.71  21729815

    accuracy                           0.77  49785283
   macro avg       0.77      0.75      0.76  49785283
weighted avg       0.77      0.77      0.76  49785283

Accuracy: 0.7688077016655706
0-1%
              precision    recall  f1-score   support

           0       0.76      0.87      0.81  27764588
           1       0.73      0.55      0.63  17098553

    accuracy                           0.75  44863141
   macro avg       0.74      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7500269987783512
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9343978046654453
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.94      0.80  28055468
           1       0.85      0.48      0.62  21729815

    accuracy                           0.74  49785283
   macro avg       0.78      0.71      0.71  49785283
weighted avg       0.77      0.74      0.72  49785283

Accuracy: 0.7375293216672083
0-1%
              precision    recall  f1-score   support

           0       0.70      0.95      0.80  27764588
           1       0.80      0.34      0.48  17098553

    accuracy                           0.72  44863141
   macro avg       0.75      0.64      0.64  44863141
weighted avg       0.74      0.72      0.68  44863141

Accuracy: 0.7154479665166557
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.01    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9330773786702801
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.97      0.78  28055468
           1       0.90      0.35      0.50  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.66      0.64  49785283
weighted avg       0.76      0.70      0.66  49785283

Accuracy: 0.698341777026757
0-1%
              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.17      0.29  17098553

    accuracy                           0.67  44863141
   macro avg       0.75      0.58      0.54  44863141
weighted avg       0.73      0.67      0.60  44863141

Accuracy: 0.6723767290391014
1-10%
              precision    recall  f1-score   support

           0       0.10      0.01      0.02    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.52      0.50      0.49   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.9288881312367331
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.63      0.99      0.77  28055468
           1       0.93      0.24      0.38  21729815

    accuracy                           0.66  49785283
   macro avg       0.78      0.61      0.57  49785283
weighted avg       0.76      0.66      0.60  49785283

Accuracy: 0.6604677731770652
0-1%
              precision    recall  f1-score   support

           0       0.63      1.00      0.77  27764588
           1       0.87      0.04      0.08  17098553

    accuracy                           0.63  44863141
   macro avg       0.75      0.52      0.43  44863141
weighted avg       0.72      0.63      0.51  44863141

Accuracy: 0.6329175213122059
1-10%
              precision    recall  f1-score   support

           0       0.10      0.07      0.08    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.52      0.51      0.52   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9029908019381221
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.52      0.67  26119367
           1       0.62      0.95      0.75  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.74      0.71  47734596
weighted avg       0.79      0.72      0.71  47734596

Accuracy: 0.7150067845970667
0-1%
              precision    recall  f1-score   support

           0       0.97      0.89      0.93  12053010
           1       0.12      0.36      0.18    508421

    accuracy                           0.87  12561431
   macro avg       0.55      0.63      0.56  12561431
weighted avg       0.94      0.87      0.90  12561431

Accuracy: 0.8705681701392143
1-10%
              precision    recall  f1-score   support

           0       0.78      0.22      0.34  13368467
           1       0.57      0.94      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.67      0.58      0.52  27835287
weighted avg       0.67      0.59      0.53  27835287

Accuracy: 0.5947522653529672
10-20%
              precision    recall  f1-score   support

           0       0.47      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.67      0.50      0.47   3890639
weighted avg       0.82      0.87      0.81   3890639

Accuracy: 0.8705922086320524
20-40%
              precision    recall  f1-score   support

           0       0.83      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.88      0.50      0.48   2117913
weighted avg       0.92      0.93      0.90   2117913

Accuracy: 0.9303635229586862
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494

              precision    recall  f1-score   support

           0       0.82      0.75      0.78  26119367
           1       0.73      0.80      0.76  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.78      0.77  47734596
weighted avg       0.78      0.77      0.77  47734596

Accuracy: 0.7744482848456494
0-1%
              precision    recall  f1-score   support

           0       0.96      0.99      0.97  12053010
           1       0.22      0.09      0.13    508421

    accuracy                           0.95  12561431
   macro avg       0.59      0.54      0.55  12561431
weighted avg       0.93      0.95      0.94  12561431

Accuracy: 0.9507335589392641
1-10%
              precision    recall  f1-score   support

           0       0.67      0.58      0.62  13368467
           1       0.65      0.74      0.69  14466820

    accuracy                           0.66  27835287
   macro avg       0.66      0.66      0.66  27835287
weighted avg       0.66      0.66      0.66  27835287

Accuracy: 0.660770338024537
10-20%
              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8687341590931464
20-40%


              precision    recall  f1-score   support

           0       0.67      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.80      0.50      0.48   2117913
weighted avg       0.91      0.93      0.90   2117913

Accuracy: 0.9303734383801412
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.85      0.80  26119367
           1       0.79      0.67      0.72  21615229

    accuracy                           0.77  47734596
   macro avg       0.77      0.76      0.76  47734596
weighted avg       0.77      0.77      0.77  47734596

Accuracy: 0.769888635906754
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.34      0.01      0.02    508421

    accuracy                           0.96  12561431
   macro avg       0.65      0.51      0.50  12561431
weighted avg       0.93      0.96      0.94  12561431

Accuracy: 0.9590201944348538
1-10%
              precision    recall  f1-score   support

           0       0.61      0.77      0.68  13368467
           1       0.72      0.54      0.62  14466820

    accuracy                           0.65  27835287
   macro avg       0.66      0.65      0.65  27835287
weighted avg       0.66      0.65      0.65  27835287

Accuracy: 0.6498366264375144
10-20%
              precision    recall  f1-score   support

           0       0.22      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.55      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8642641992742066
20-40%
              precision    recall  f1-score   support

           0       0.53      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.73      0.50      0.48   2117913
weighted avg       0.90      0.93      0.90   2117913

Accuracy: 0.9303682445879505
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.93      0.79  26119367
           1       0.85      0.50      0.63  21615229

    accuracy                           0.73  47734596
   macro avg       0.77      0.71      0.71  47734596
weighted avg       0.76      0.73      0.72  47734596

Accuracy: 0.7344339313147219
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.54      0.91      0.68  13368467
           1       0.78      0.30      0.43  14466820

    accuracy                           0.59  27835287
   macro avg       0.66      0.60      0.56  27835287
weighted avg       0.67      0.59      0.55  27835287

Accuracy: 0.5907556117528086
10-20%
              precision    recall  f1-score   support

           0       0.20      0.05      0.08    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.54      0.51      0.50   3890639
weighted avg       0.79      0.85      0.81   3890639

Accuracy: 0.8503762492485167
20-40%
              precision    recall  f1-score   support

           0       0.39      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.66      0.50      0.48   2117913
weighted avg       0.89      0.93      0.90   2117913

Accuracy: 0.9302785336319291
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.97      0.77  26119367
           1       0.89      0.35      0.51  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.65  47734596

Accuracy: 0.6878022807608972
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.50      0.98      0.66  13368467
           1       0.83      0.09      0.17  14466820

    accuracy                           0.52  27835287
   macro avg       0.66      0.54      0.41  27835287
weighted avg       0.67      0.52      0.40  27835287

Accuracy: 0.5182305826413789
10-20%
              precision    recall  f1-score   support

           0       0.18      0.16      0.17    503365
           1       0.88      0.89      0.88   3387274

    accuracy                           0.80   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.80      0.79   3890639

Accuracy: 0.7975322305667527
20-40%
              precision    recall  f1-score   support

           0       0.23      0.01      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.58      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9295273224159821
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.61      0.98      0.75  26119367
           1       0.93      0.23      0.37  21615229

    accuracy                           0.64  47734596
   macro avg       0.77      0.61      0.56  47734596
weighted avg       0.75      0.64      0.58  47734596

Accuracy: 0.6434244881846282
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.89      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.68      0.50      0.32  27835287
weighted avg       0.69      0.48      0.31  27835287

Accuracy: 0.48032851251003805
10-20%
              precision    recall  f1-score   support

           0       0.15      0.58      0.24    503365
           1       0.89      0.52      0.66   3387274

    accuracy                           0.53   3890639
   macro avg       0.52      0.55      0.45   3890639
weighted avg       0.80      0.53      0.60   3890639

Accuracy: 0.5285951742117426
20-40%
              precision    recall  f1-score   support

           0       0.13      0.02      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9214986640149997
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.54      0.68  24893266
           1       0.63      0.95      0.75  20563095

    accuracy                           0.72  45456361
   macro avg       0.78      0.74      0.72  45456361
weighted avg       0.79      0.72      0.71  45456361

Accuracy: 0.7214759008095699
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   4873589
           1       0.02      0.11      0.03      3872

    accuracy                           0.99   4877461
   macro avg       0.51      0.55      0.51   4877461
weighted avg       1.00      0.99      1.00   4877461

Accuracy: 0.994172787850072
1-10%
              precision    recall  f1-score   support

           0       0.89      0.50      0.64  16949103
           1       0.45      0.87      0.59   8016772

    accuracy                           0.62  24965875
   macro avg       0.67      0.68      0.62  24965875
weighted avg       0.75      0.62      0.62  24965875

Accuracy: 0.6171907453674266
10-20%
              precision    recall  f1-score   support

           0       0.47      0.02      0.04   2057494
           1       0.73      0.99      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.51      0.44   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7257084716006198
20-40%
              precision    recall  f1-score   support

           0       0.52      0.01      0.01    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.85   4805513
   macro avg       0.68      0.50      0.46   4805513
weighted avg       0.79      0.85      0.78   4805513

Accuracy: 0.84502237326171
40-80%
              precision    recall  f1-score   support

           0       0.87      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.89      0.50      0.48   2719684
weighted avg       0.91      0.91      0.87   2719684

Accuracy: 0.9132781602568534
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574407485016

              precision    recall  f1-score   support

           0       0.83      0.75      0.79  24893266
           1       0.73      0.81      0.77  20563095

    accuracy                           0.78  45456361
   macro avg       0.78      0.78      0.78  45456361
weighted avg       0.78      0.78      0.78  45456361

Accuracy: 0.7766574187493803
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.09      0.02      0.03      3872

    accuracy                           1.00   4877461
   macro avg       0.54      0.51      0.52   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9990599617300887
1-10%
              precision    recall  f1-score   support

           0       0.79      0.80      0.79  16949103
           1       0.57      0.56      0.56   8016772

    accuracy                           0.72  24965875
   macro avg       0.68      0.68      0.68  24965875
weighted avg       0.72      0.72      0.72  24965875

Accuracy: 0.721119407991909
10-20%
              precision    recall  f1-score   support

           0       0.42      0.13      0.20   2057494
           1       0.74      0.93      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.58      0.53      0.51   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7135057490373937
20-40%
              precision    recall  f1-score   support

           0       0.32      0.02      0.04    744974
           1       0.85      0.99      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.58      0.51      0.48   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8411634720372206
40-80%
              precision    recall  f1-score   support

           0       0.71      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.81      0.50      0.48   2719684
weighted avg       0.90      0.91      0.87   2719684

Accuracy: 0.9133285337561275
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.76      0.84      0.80  24893266
           1       0.78      0.68      0.73  20563095

    accuracy                           0.77  45456361
   macro avg       0.77      0.76      0.77  45456361
weighted avg       0.77      0.77      0.77  45456361

Accuracy: 0.7719461529267598
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.27      0.00      0.01      3872

    accuracy                           1.00   4877461
   macro avg       0.63      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992014287761604
1-10%
              precision    recall  f1-score   support

           0       0.74      0.92      0.82  16949103
           1       0.64      0.31      0.42   8016772

    accuracy                           0.72  24965875
   macro avg       0.69      0.61      0.62  24965875
weighted avg       0.71      0.72      0.69  24965875

Accuracy: 0.722776590045412
10-20%
              precision    recall  f1-score   support

           0       0.39      0.28      0.32   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6844458779169132
20-40%
              precision    recall  f1-score   support

           0       0.28      0.05      0.08    744974
           1       0.85      0.98      0.91   4060539

    accuracy                           0.83   4805513
   macro avg       0.56      0.51      0.49   4805513
weighted avg       0.76      0.83      0.78   4805513

Accuracy: 0.8333097839918444
40-80%
              precision    recall  f1-score   support

           0       0.59      0.00      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.75      0.50      0.48   2719684
weighted avg       0.89      0.91      0.87   2719684

Accuracy: 0.9133325783436606
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.70      0.92      0.79  24893266
           1       0.84      0.52      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.77      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.7373577704559324
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.69      0.99      0.81  16949103
           1       0.73      0.07      0.12   8016772

    accuracy                           0.69  24965875
   macro avg       0.71      0.53      0.47  24965875
weighted avg       0.70      0.69      0.59  24965875

Accuracy: 0.6922714705573108
10-20%
              precision    recall  f1-score   support

           0       0.35      0.55      0.42   2057494
           1       0.78      0.61      0.68   5461156

    accuracy                           0.59   7518650
   macro avg       0.56      0.58      0.55   7518650
weighted avg       0.66      0.59      0.61   7518650

Accuracy: 0.5907341078518085
20-40%
              precision    recall  f1-score   support

           0       0.25      0.11      0.15    744974
           1       0.85      0.94      0.89   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.53      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8113581213909941
40-80%
              precision    recall  f1-score   support

           0       0.44      0.01      0.01    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.68      0.50      0.48   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9131035076133845
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.88      0.36      0.51  20563095

    accuracy                           0.69  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.69      0.65  45456361

Accuracy: 0.6873564516086098
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.29      0.90      0.44   2057494
           1       0.83      0.19      0.30   5461156

    accuracy                           0.38   7518650
   macro avg       0.56      0.54      0.37   7518650
weighted avg       0.68      0.38      0.34   7518650

Accuracy: 0.38111828586248864
20-40%
              precision    recall  f1-score   support

           0       0.22      0.28      0.25    744974
           1       0.86      0.82      0.84   4060539

    accuracy                           0.74   4805513
   macro avg       0.54      0.55      0.54   4805513
weighted avg       0.76      0.74      0.75   4805513

Accuracy: 0.7368172763240886
40-80%
              precision    recall  f1-score   support

           0       0.29      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.49   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9114180176814659
80-90%
              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.48    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9410938357185213
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.60      0.98      0.75  24893266
           1       0.91      0.22      0.36  20563095

    accuracy                           0.64  45456361
   macro avg       0.76      0.60      0.55  45456361
weighted avg       0.74      0.64      0.57  45456361

Accuracy: 0.6374376294662039
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.18      0.73      0.29    744974
           1       0.89      0.39      0.54   4060539

    accuracy                           0.44   4805513
   macro avg       0.53      0.56      0.41   4805513
weighted avg       0.78      0.44      0.50   4805513

Accuracy: 0.4412812950459191
40-80%
              precision    recall  f1-score   support

           0       0.18      0.05      0.08    235909
           1       0.92      0.98      0.95   2483775

    accuracy                           0.90   2719684
   macro avg       0.55      0.52      0.51   2719684
weighted avg       0.85      0.90      0.87   2719684

Accuracy: 0.8963681074713091
80-90%
              precision    recall  f1-score   support

           0       1.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.97      0.50      0.49    315349
weighted avg       0.94      0.94      0.91    315349

Accuracy: 0.9411065200777551
90-100%
              precision    recall  f1-score   support

           0       1.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.97      0.50      0.49    253829
weighted avg       0.95      0.95      0.92    253829

Accuracy: 0.9463497078741988

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  22531902
           1       0.61      0.94      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7210986263750045
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.95      0.82      0.88  11439888
           1       0.29      0.64      0.40   1271288

    accuracy                           0.81  12711176
   macro avg       0.62      0.73      0.64  12711176
weighted avg       0.89      0.81      0.84  12711176

Accuracy: 0.8067427435510294
10-20%
              precision    recall  f1-score   support

           0       0.78      0.26      0.39   5044441
           1       0.48      0.90      0.63   3812372

    accuracy                           0.53   8856813
   macro avg       0.63      0.58      0.51   8856813
weighted avg       0.65      0.53      0.49   8856813

Accuracy: 0.5347455117320418
20-40%
              precision    recall  f1-score   support

           0       0.60      0.06      0.12   2995598
           1       0.66      0.98      0.79   5583215

    accuracy                           0.66   8578813
   macro avg       0.63      0.52      0.45   8578813
weighted avg       0.64      0.66      0.55   8578813

Accuracy: 0.6582191498987098
40-80%
              precision    recall  f1-score   support

           0       0.54      0.01      0.03   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.67      0.51      0.46   6296625
weighted avg       0.74      0.79      0.71   6296625

Accuracy: 0.794737815893435
80-90%
              precision    recall  f1-score   support

           0       0.78      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.82      0.50      0.46    810732
weighted avg       0.84      0.85      0.79    810732

Accuracy: 0.8547177118949295
90-100%
              precision    recall  f1-score   support

           0       0.78      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.82      0.50      0.47    666440
weighted avg       0.86      0.87      0.80    666440

Accuracy: 0.866624152211752

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814472737404

              precision    recall  f1-score   support

           0       0.85      0.74      0.79  22531902
           1       0.71      0.82      0.76  16938696

    accuracy                           0.78  39470598
   macro avg       0.78      0.78      0.78  39470598
weighted avg       0.79      0.78      0.78  39470598

Accuracy: 0.7763814726090544
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.92      0.97      0.94  11439888
           1       0.45      0.25      0.32   1271288

    accuracy                           0.89  12711176
   macro avg       0.69      0.61      0.63  12711176
weighted avg       0.87      0.89      0.88  12711176

Accuracy: 0.8945713598804705
10-20%
              precision    recall  f1-score   support

           0       0.71      0.65      0.68   5044441
           1       0.58      0.64      0.61   3812372

    accuracy                           0.65   8856813
   macro avg       0.64      0.65      0.64   8856813
weighted avg       0.65      0.65      0.65   8856813

Accuracy: 0.6476143280884444
20-40%
              precision    recall  f1-score   support

           0       0.56      0.25      0.35   2995598
           1       0.69      0.89      0.78   5583215

    accuracy                           0.67   8578813
   macro avg       0.62      0.57      0.56   8578813
weighted avg       0.64      0.67      0.63   8578813

Accuracy: 0.6684184630204668
40-80%
              precision    recall  f1-score   support

           0       0.43      0.05      0.09   1295061
           1       0.80      0.98      0.88   5001564

    accuracy                           0.79   6296625
   macro avg       0.62      0.52      0.48   6296625
weighted avg       0.72      0.79      0.72   6296625

Accuracy: 0.7912273638655629
80-90%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.77      0.50      0.47    810732
weighted avg       0.83      0.86      0.79    810732

Accuracy: 0.8551790234010745
90-100%
              precision    recall  f1-score   support

           0       0.75      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.81      0.50      0.47    666440
weighted avg       0.85      0.87      0.81    666440

Accuracy: 0.8669467618990456

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.83      0.81  22531902
           1       0.75      0.71      0.73  16938696

    accuracy                           0.78  39470598
   macro avg       0.77      0.77      0.77  39470598
weighted avg       0.78      0.78      0.78  39470598

Accuracy: 0.7772158911805694
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.99      0.95  11439888
           1       0.56      0.09      0.15   1271288

    accuracy                           0.90  12711176
   macro avg       0.73      0.54      0.55  12711176
weighted avg       0.87      0.90      0.87  12711176

Accuracy: 0.9016999685945659
10-20%
              precision    recall  f1-score   support

           0       0.65      0.85      0.73   5044441
           1       0.66      0.40      0.49   3812372

    accuracy                           0.65   8856813
   macro avg       0.65      0.62      0.61   8856813
weighted avg       0.65      0.65      0.63   8856813

Accuracy: 0.6521726268805721
20-40%
              precision    recall  f1-score   support

           0       0.52      0.43      0.47   2995598
           1       0.72      0.78      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.61   8578813
weighted avg       0.65      0.66      0.65   8578813

Accuracy: 0.6615873314874681
40-80%
              precision    recall  f1-score   support

           0       0.40      0.09      0.15   1295061
           1       0.80      0.96      0.88   5001564

    accuracy                           0.78   6296625
   macro avg       0.60      0.53      0.51   6296625
weighted avg       0.72      0.78      0.73   6296625

Accuracy: 0.7849500327556429
80-90%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.71      0.51      0.48    810732
weighted avg       0.81      0.86      0.79    810732

Accuracy: 0.8550297755608511
90-100%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.78      0.50      0.47    666440
weighted avg       0.84      0.87      0.81    666440

Accuracy: 0.867248364443911

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.73      0.90      0.80  22531902
           1       0.80      0.56      0.66  16938696

    accuracy                           0.75  39470598
   macro avg       0.77      0.73      0.73  39470598
weighted avg       0.76      0.75      0.74  39470598

Accuracy: 0.7512346785321063
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.73      0.00      0.01   1271288

    accuracy                           0.90  12711176
   macro avg       0.81      0.50      0.48  12711176
weighted avg       0.88      0.90      0.85  12711176

Accuracy: 0.9001832717916894
10-20%
              precision    recall  f1-score   support

           0       0.59      0.97      0.74   5044441
           1       0.77      0.11      0.20   3812372

    accuracy                           0.60   8856813
   macro avg       0.68      0.54      0.47   8856813
weighted avg       0.67      0.60      0.50   8856813

Accuracy: 0.603835488002287
20-40%
              precision    recall  f1-score   support

           0       0.46      0.68      0.55   2995598
           1       0.77      0.57      0.65   5583215

    accuracy                           0.61   8578813
   macro avg       0.61      0.62      0.60   8578813
weighted avg       0.66      0.61      0.62   8578813

Accuracy: 0.6066986190280637
40-80%
              precision    recall  f1-score   support

           0       0.37      0.18      0.25   1295061
           1       0.81      0.92      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.59      0.55      0.55   6296625
weighted avg       0.72      0.77      0.74   6296625

Accuracy: 0.7682077303317253
80-90%
              precision    recall  f1-score   support

           0       0.41      0.03      0.05    117971
           1       0.86      0.99      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.64      0.51      0.48    810732
weighted avg       0.79      0.85      0.79    810732

Accuracy: 0.8529205705461238
90-100%
              precision    recall  f1-score   support

           0       0.57      0.02      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.72      0.51      0.48    666440
weighted avg       0.83      0.87      0.81    666440

Accuracy: 0.8671103175079528

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  22531902
           1       0.84      0.37      0.52  16938696

    accuracy                           0.70  39470598
   macro avg       0.75      0.66      0.65  39470598
weighted avg       0.74      0.70      0.67  39470598

Accuracy: 0.7008786894994599
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.87      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.72      0.50      0.36   8856813
weighted avg       0.70      0.57      0.41   8856813

Accuracy: 0.5695581469316333
20-40%
              precision    recall  f1-score   support

           0       0.38      0.93      0.54   2995598
           1       0.84      0.20      0.32   5583215

    accuracy                           0.45   8578813
   macro avg       0.61      0.56      0.43   8578813
weighted avg       0.68      0.45      0.40   8578813

Accuracy: 0.45304845786940456
40-80%
              precision    recall  f1-score   support

           0       0.33      0.38      0.35   1295061
           1       0.83      0.80      0.81   5001564

    accuracy                           0.71   6296625
   macro avg       0.58      0.59      0.58   6296625
weighted avg       0.73      0.71      0.72   6296625

Accuracy: 0.7117698767196713
80-90%
              precision    recall  f1-score   support

           0       0.32      0.05      0.09    117971
           1       0.86      0.98      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.59      0.52      0.50    810732
weighted avg       0.78      0.85      0.80    810732

Accuracy: 0.8458294479556746
90-100%
              precision    recall  f1-score   support

           0       0.38      0.03      0.06     88944
           1       0.87      0.99      0.93    577496

    accuracy                           0.86    666440
   macro avg       0.62      0.51      0.49    666440
weighted avg       0.80      0.86      0.81    666440

Accuracy: 0.8637491747194046

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.98      0.76  22531902
           1       0.87      0.19      0.31  16938696

    accuracy                           0.64  39470598
   macro avg       0.74      0.58      0.53  39470598
weighted avg       0.73      0.64      0.56  39470598

Accuracy: 0.6394140772835517
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.94      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.64      0.50      0.26   8578813
weighted avg       0.73      0.35      0.18   8578813

Accuracy: 0.34919236495771616
40-80%
              precision    recall  f1-score   support

           0       0.25      0.78      0.38   1295061
           1       0.87      0.40      0.55   5001564

    accuracy                           0.48   6296625
   macro avg       0.56      0.59      0.46   6296625
weighted avg       0.75      0.48      0.51   6296625

Accuracy: 0.47539197586008375
80-90%
              precision    recall  f1-score   support

           0       0.26      0.19      0.22    117971
           1       0.87      0.91      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.57      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8047406541249142
90-100%
              precision    recall  f1-score   support

           0       0.27      0.10      0.15     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.57      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.8437038593121662

LR_decay_rtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.96      0.29      0.45  28055468
           1       0.52      0.98      0.68  21729815

    accuracy                           0.59  49785283
   macro avg       0.74      0.64      0.56  49785283
weighted avg       0.77      0.59      0.55  49785283

Accuracy: 0.5934621683279374
0-1%
              precision    recall  f1-score   support

           0       0.96      0.29      0.45  27764588
           1       0.46      0.98      0.63  17098553

    accuracy                           0.56  44863141
   macro avg       0.71      0.64      0.54  44863141
weighted avg       0.77      0.56      0.52  44863141

Accuracy: 0.5553687602925529
1-10%
              precision    recall  f1-score   support

           0       0.10      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.52      0.50      0.48   4452351
weighted avg       0.88      0.94      0.90   4452351

Accuracy: 0.9351508899455591
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055468
           1       0.55      0.80      0.65  21729815

    accuracy                           0.62  49785283
   macro avg       0.65      0.64      0.62  49785283
weighted avg       0.67      0.62      0.62  49785283

Accuracy: 0.6244382903276858
0-1%
              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622

              precision    recall  f1-score   support

           0       0.78      0.49      0.60  27764588
           1       0.48      0.77      0.59  17098553

    accuracy                           0.60  44863141
   macro avg       0.63      0.63      0.60  44863141
weighted avg       0.67      0.60      0.60  44863141

Accuracy: 0.5972438933778622
1-10%
              precision    recall  f1-score   support

           0       0.09      0.12      0.10    287564
           1       0.94      0.91      0.92   4164787

    accuracy                           0.86   4452351
   macro avg       0.51      0.52      0.51   4452351
weighted avg       0.88      0.86      0.87   4452351

Accuracy: 0.8597300617134633

              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28052152
           1       0.54      0.80      0.65  21263340

    accuracy                           0.62  49315492
   macro avg       0.65      0.64      0.62  49315492
weighted avg       0.67      0.62      0.62  49315492

Accuracy: 0.6209419344330986
10-20%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28054607
           1       0.54      0.80      0.65  21520956

    accuracy                           0.62  49575563
   macro avg       0.65      0.64      0.62  49575563
weighted avg       0.67      0.62      0.62  49575563

Accuracy: 0.6228689122501746

              precision    recall  f1-score   support

           0       0.01      0.00      0.00      2455
           1       0.99      1.00      0.99    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.98    260071

Accuracy: 0.9882685881932242
20-40%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055266
           1       0.55      0.80      0.65  21651524

    accuracy                           0.62  49706790
   macro avg       0.65      0.64      0.62  49706790
weighted avg       0.67      0.62      0.62  49706790

Accuracy: 0.623849578699409

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9943304350476655
40-80%
              precision    recall  f1-score   support

           0       0.76      0.49      0.59  28055435
           1       0.55      0.80      0.65  21716758

    accuracy                           0.62  49772193
   macro avg       0.65      0.64      0.62  49772193
weighted avg       0.67      0.62      0.62  49772193

Accuracy: 0.6243402013650473

              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9972172530312066
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9978337395071757
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.64      0.65      0.64  28055468
           1       0.53      0.52      0.53  21729815

    accuracy                           0.59  49785283
   macro avg       0.59      0.58      0.58  49785283
weighted avg       0.59      0.59      0.59  49785283

Accuracy: 0.5927141360228886
0-1%
              precision    recall  f1-score   support

           0       0.69      0.65      0.67  27764588
           1       0.48      0.52      0.50  17098553

    accuracy                           0.60  44863141
   macro avg       0.58      0.59      0.58  44863141
weighted avg       0.61      0.60      0.60  44863141

Accuracy: 0.6006951006841006
1-10%
              precision    recall  f1-score   support

           0       0.07      0.61      0.13    287564
           1       0.95      0.47      0.63   4164787

    accuracy                           0.48   4452351
   macro avg       0.51      0.54      0.38   4452351
weighted avg       0.89      0.48      0.60   4452351

Accuracy: 0.47973553747222536
10-20%
              precision    recall  f1-score   support

           0       0.01      0.13      0.02      2455
           1       0.99      0.87      0.93    257616

    accuracy                           0.87    260071
   macro avg       0.50      0.50      0.47    260071
weighted avg       0.98      0.87      0.92    260071

Accuracy: 0.8674131294915619
20-40%
              precision    recall  f1-score   support

           0       0.01      0.09      0.01       659
           1       1.00      0.93      0.96    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.51      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9298619948638619
40-80%
              precision    recall  f1-score   support

           0       0.00      0.02      0.00       169
           1       1.00      0.97      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.49      0.49     65403
weighted avg       0.99      0.96      0.98     65403

Accuracy: 0.9635184930354876
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      0.98      0.99      7371

    accuracy                           0.98      7386
   macro avg       0.50      0.49      0.49      7386
weighted avg       1.00      0.98      0.99      7386

Accuracy: 0.979555916598971
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      0.98      0.99      5686

    accuracy                           0.97      5704
   macro avg       0.50      0.49      0.49      5704
weighted avg       0.99      0.97      0.98      5704

Accuracy: 0.9742286115007013

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439
0-1%
              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326
1-10%
              precision    recall  f1-score   support

           0       0.06      0.94      0.12    287564
           1       0.93      0.06      0.11   4164787

    accuracy                           0.12   4452351
   macro avg       0.50      0.50      0.12   4452351
weighted avg       0.88      0.12      0.11   4452351

Accuracy: 0.11696472268246597
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.01      0.02    257616

    accuracy                           0.02    260071
   macro avg       0.50      0.50      0.02    260071
weighted avg       0.99      0.02      0.02    260071

Accuracy: 0.01841804737936948
20-40%
              precision    recall  f1-score   support

           0       0.01      0.99      0.01       659
           1       0.99      0.00      0.01    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.01    131227

Accuracy: 0.009510237984561104
40-80%
              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.99      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       0.99      0.00      0.00     65403

Accuracy: 0.004693974282525266
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.50      0.50      0.00      7386
weighted avg       1.00      0.00      0.00      7386

Accuracy: 0.003926347143243975
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.00      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.00      5704

Accuracy: 0.005434782608695652

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.42      0.57  26119367
           1       0.58      0.96      0.72  21615229

    accuracy                           0.66  47734596
   macro avg       0.75      0.69      0.65  47734596
weighted avg       0.77      0.66      0.64  47734596

Accuracy: 0.6623225427528495
0-1%
              precision    recall  f1-score   support

           0       0.99      0.74      0.85  12053010
           1       0.11      0.76      0.19    508421

    accuracy                           0.74  12561431
   macro avg       0.55      0.75      0.52  12561431
weighted avg       0.95      0.74      0.82  12561431

Accuracy: 0.7413108426898177
1-10%
              precision    recall  f1-score   support

           0       0.73      0.15      0.24  13368467
           1       0.55      0.95      0.69  14466820

    accuracy                           0.56  27835287
   macro avg       0.64      0.55      0.47  27835287
weighted avg       0.64      0.56      0.48  27835287

Accuracy: 0.5639647617069657
10-20%
              precision    recall  f1-score   support

           0       0.18      0.01      0.03    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.53      0.50      0.48   3890639
weighted avg       0.78      0.86      0.81   3890639

Accuracy: 0.8644286966742482
20-40%
              precision    recall  f1-score   support

           0       0.10      0.01      0.01    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.52      0.50      0.49   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9266981221608253
40-80%
              precision    recall  f1-score   support

           0       0.05      0.00      0.01     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9603958784513901
80-90%
              precision    recall  f1-score   support

           0       0.04      0.00      0.01      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9735318778419169
90-100%
              precision    recall  f1-score   support

           0       0.02      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.50      0.50      0.49     99395
weighted avg       0.95      0.98      0.96     99395

Accuracy: 0.9754716031993561

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106

              precision    recall  f1-score   support

           0       0.80      0.60      0.69  26119367
           1       0.63      0.82      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.73      0.70      0.70  47734596

Accuracy: 0.7023233002747106
0-1%
              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676

              precision    recall  f1-score   support

           0       0.98      0.87      0.92  12053010
           1       0.16      0.58      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.73      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8596725166105676
1-10%
              precision    recall  f1-score   support

           0       0.84      0.61      0.71  25421477
           1       0.55      0.80      0.65  14975241

    accuracy                           0.68  40396718
   macro avg       0.69      0.71      0.68  40396718
weighted avg       0.73      0.68      0.69  40396718

Accuracy: 0.6821889837684338

              precision    recall  f1-score   support

           0       0.64      0.38      0.48  13368467
           1       0.59      0.81      0.68  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.59      0.58  27835287
weighted avg       0.61      0.60      0.58  27835287

Accuracy: 0.6020947080588751
10-20%
              precision    recall  f1-score   support

           0       0.82      0.61      0.70  25924842
           1       0.59      0.81      0.69  18362515

    accuracy                           0.69  44287357
   macro avg       0.71      0.71      0.69  44287357
weighted avg       0.73      0.69      0.69  44287357

Accuracy: 0.6911962481752976

              precision    recall  f1-score   support

           0       0.17      0.18      0.18    503365
           1       0.88      0.87      0.88   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.79   3890639

Accuracy: 0.7847191682394589
20-40%
              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26072330
           1       0.62      0.82      0.70  20332940

    accuracy                           0.70  46405270
   macro avg       0.71      0.71      0.70  46405270
weighted avg       0.73      0.70      0.70  46405270

Accuracy: 0.6977214656869791

              precision    recall  f1-score   support

           0       0.10      0.17      0.12    147488
           1       0.93      0.88      0.91   1970425

    accuracy                           0.83   2117913
   macro avg       0.52      0.53      0.52   2117913
weighted avg       0.88      0.83      0.85   2117913

Accuracy: 0.8341692977945742
40-80%
              precision    recall  f1-score   support

           0       0.81      0.60      0.69  26113946
           1       0.63      0.82      0.71  21397219

    accuracy                           0.70  47511165
   macro avg       0.72      0.71      0.70  47511165
weighted avg       0.73      0.70      0.70  47511165

Accuracy: 0.7015260939191872

              precision    recall  f1-score   support

           0       0.05      0.17      0.08     41616
           1       0.96      0.89      0.92   1064279

    accuracy                           0.86   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.86      0.89   1105895

Accuracy: 0.8611748854999797
80-90%
              precision    recall  f1-score   support

           0       0.04      0.17      0.06      3093
           1       0.98      0.89      0.93    120943

    accuracy                           0.87    124036
   macro avg       0.51      0.53      0.50    124036
weighted avg       0.95      0.87      0.91    124036

Accuracy: 0.8705698345641588
90-100%
              precision    recall  f1-score   support

           0       0.04      0.17      0.06      2328
           1       0.98      0.89      0.93     97067

    accuracy                           0.87     99395
   macro avg       0.51      0.53      0.50     99395
weighted avg       0.96      0.87      0.91     99395

Accuracy: 0.8734342773781377

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.73      0.71      0.72  26119367
           1       0.66      0.68      0.67  21615229

    accuracy                           0.70  47734596
   macro avg       0.69      0.70      0.69  47734596
weighted avg       0.70      0.70      0.70  47734596

Accuracy: 0.6970736905367335
0-1%
              precision    recall  f1-score   support

           0       0.98      0.92      0.95  12053010
           1       0.20      0.46      0.28    508421

    accuracy                           0.90  12561431
   macro avg       0.59      0.69      0.62  12561431
weighted avg       0.94      0.90      0.92  12561431

Accuracy: 0.904882811520439
1-10%
              precision    recall  f1-score   support

           0       0.60      0.55      0.57  13368467
           1       0.61      0.66      0.64  14466820

    accuracy                           0.61  27835287
   macro avg       0.60      0.60      0.60  27835287
weighted avg       0.60      0.61      0.60  27835287

Accuracy: 0.6054185825351828
10-20%
              precision    recall  f1-score   support

           0       0.16      0.35      0.22    503365
           1       0.88      0.72      0.79   3387274

    accuracy                           0.67   3890639
   macro avg       0.52      0.54      0.51   3890639
weighted avg       0.79      0.67      0.72   3890639

Accuracy: 0.6739247717405804
20-40%
              precision    recall  f1-score   support

           0       0.09      0.34      0.14    147488
           1       0.94      0.73      0.82   1970425

    accuracy                           0.70   2117913
   macro avg       0.51      0.53      0.48   2117913
weighted avg       0.88      0.70      0.77   2117913

Accuracy: 0.7002516156234935
40-80%
              precision    recall  f1-score   support

           0       0.05      0.34      0.08     41616
           1       0.97      0.73      0.83   1064279

    accuracy                           0.71   1105895
   macro avg       0.51      0.53      0.46   1105895
weighted avg       0.93      0.71      0.80   1105895

Accuracy: 0.714353532659068
80-90%
              precision    recall  f1-score   support

           0       0.03      0.35      0.06      3093
           1       0.98      0.73      0.83    120943

    accuracy                           0.72    124036
   macro avg       0.50      0.54      0.45    124036
weighted avg       0.95      0.72      0.82    124036

Accuracy: 0.7191379921958141
90-100%
              precision    recall  f1-score   support

           0       0.03      0.33      0.05      2328
           1       0.98      0.73      0.84     97067

    accuracy                           0.72     99395
   macro avg       0.50      0.53      0.44     99395
weighted avg       0.96      0.72      0.82     99395

Accuracy: 0.7207505407716686

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.64      0.85      0.73  26119367
           1       0.70      0.42      0.53  21615229

    accuracy                           0.66  47734596
   macro avg       0.67      0.64      0.63  47734596
weighted avg       0.67      0.66      0.64  47734596

Accuracy: 0.6553020371220907
0-1%
              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.28      0.29      0.29    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.63      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.941196906626323
1-10%
              precision    recall  f1-score   support

           0       0.54      0.75      0.63  13368467
           1       0.64      0.42      0.51  14466820

    accuracy                           0.58  27835287
   macro avg       0.59      0.58      0.57  27835287
weighted avg       0.60      0.58      0.57  27835287

Accuracy: 0.5781541250140514
10-20%
              precision    recall  f1-score   support

           0       0.14      0.61      0.23    503365
           1       0.88      0.45      0.59   3387274

    accuracy                           0.47   3890639
   macro avg       0.51      0.53      0.41   3890639
weighted avg       0.79      0.47      0.55   3890639

Accuracy: 0.46630771963165946
20-40%
              precision    recall  f1-score   support

           0       0.07      0.60      0.13    147488
           1       0.94      0.44      0.60   1970425

    accuracy                           0.45   2117913
   macro avg       0.51      0.52      0.37   2117913
weighted avg       0.88      0.45      0.57   2117913

Accuracy: 0.4530648803798834
40-80%
              precision    recall  f1-score   support

           0       0.04      0.61      0.08     41616
           1       0.97      0.44      0.60   1064279

    accuracy                           0.45   1105895
   macro avg       0.50      0.52      0.34   1105895
weighted avg       0.93      0.45      0.58   1105895

Accuracy: 0.4451986852278019
80-90%
              precision    recall  f1-score   support

           0       0.03      0.62      0.05      3093
           1       0.98      0.44      0.61    120943

    accuracy                           0.44    124036
   macro avg       0.50      0.53      0.33    124036
weighted avg       0.95      0.44      0.59    124036

Accuracy: 0.44258118610725916
90-100%
              precision    recall  f1-score   support

           0       0.02      0.60      0.05      2328
           1       0.98      0.44      0.60     97067

    accuracy                           0.44     99395
   macro avg       0.50      0.52      0.33     99395
weighted avg       0.96      0.44      0.59     99395

Accuracy: 0.4395190904975099

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.38      0.53  24893266
           1       0.56      0.94      0.70  20563095

    accuracy                           0.63  45456361
   macro avg       0.72      0.66      0.61  45456361
weighted avg       0.73      0.63      0.61  45456361

Accuracy: 0.6317128641247811
0-1%
              precision    recall  f1-score   support

           0       1.00      0.90      0.95   4873589
           1       0.01      0.79      0.01      3872

    accuracy                           0.90   4877461
   macro avg       0.50      0.85      0.48   4877461
weighted avg       1.00      0.90      0.95   4877461

Accuracy: 0.9036908752320111
1-10%
              precision    recall  f1-score   support

           0       0.88      0.28      0.43  16949103
           1       0.38      0.92      0.53   8016772

    accuracy                           0.49  24965875
   macro avg       0.63      0.60      0.48  24965875
weighted avg       0.72      0.49      0.46  24965875

Accuracy: 0.48618227881057646
10-20%
              precision    recall  f1-score   support

           0       0.41      0.10      0.17   2057494
           1       0.74      0.94      0.83   5461156

    accuracy                           0.71   7518650
   macro avg       0.57      0.52      0.50   7518650
weighted avg       0.65      0.71      0.65   7518650

Accuracy: 0.7135812945143077
20-40%
              precision    recall  f1-score   support

           0       0.25      0.09      0.14    744974
           1       0.85      0.95      0.90   4060539

    accuracy                           0.81   4805513
   macro avg       0.55      0.52      0.52   4805513
weighted avg       0.76      0.81      0.78   4805513

Accuracy: 0.8147342437737657
40-80%
              precision    recall  f1-score   support

           0       0.15      0.10      0.12    235909
           1       0.92      0.95      0.93   2483775

    accuracy                           0.87   2719684
   macro avg       0.53      0.52      0.52   2719684
weighted avg       0.85      0.87      0.86   2719684

Accuracy: 0.8740386750813698
80-90%
              precision    recall  f1-score   support

           0       0.11      0.10      0.10     18577
           1       0.94      0.95      0.95    296772

    accuracy                           0.90    315349
   macro avg       0.52      0.52      0.52    315349
weighted avg       0.89      0.90      0.90    315349

Accuracy: 0.8979353034257284
90-100%
              precision    recall  f1-score   support

           0       0.10      0.10      0.10     13620
           1       0.95      0.95      0.95    240209

    accuracy                           0.90    253829
   macro avg       0.52      0.52      0.52    253829
weighted avg       0.90      0.90      0.90    253829

Accuracy: 0.9022964279101284

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863

              precision    recall  f1-score   support

           0       0.80      0.56      0.65  24893266
           1       0.61      0.83      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.6792040612313863
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486

              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.01      0.67      0.03      3872

    accuracy                           0.96   4877461
   macro avg       0.51      0.82      0.51   4877461
weighted avg       1.00      0.96      0.98   4877461

Accuracy: 0.9649407755387486
1-10%
              precision    recall  f1-score   support

           0       0.85      0.49      0.62  16949103
           1       0.43      0.81      0.56   8016772

    accuracy                           0.59  24965875
   macro avg       0.64      0.65      0.59  24965875
weighted avg       0.71      0.59      0.60  24965875

Accuracy: 0.5929809790363847

              precision    recall  f1-score   support

           0       0.90      0.60      0.72  21822692
           1       0.42      0.81      0.56   8020644

    accuracy                           0.65  29843336
   macro avg       0.66      0.70      0.64  29843336
weighted avg       0.77      0.65      0.67  29843336

Accuracy: 0.6537724200806505
10-20%
              precision    recall  f1-score   support

           0       0.85      0.57      0.68  23880186
           1       0.52      0.82      0.64  13481800

    accuracy                           0.66  37361986
   macro avg       0.68      0.70      0.66  37361986
weighted avg       0.73      0.66      0.66  37361986

Accuracy: 0.660068230848328

              precision    recall  f1-score   support

           0       0.39      0.27      0.32   2057494
           1       0.75      0.84      0.79   5461156

    accuracy                           0.69   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.69      0.67   7518650

Accuracy: 0.6850578228804373
20-40%
              precision    recall  f1-score   support

           0       0.82      0.56      0.66  24625160
           1       0.57      0.83      0.68  17542339

    accuracy                           0.67  42167499
   macro avg       0.70      0.69      0.67  42167499
weighted avg       0.72      0.67      0.67  42167499

Accuracy: 0.6704102844705113

              precision    recall  f1-score   support

           0       0.23      0.26      0.24    744974
           1       0.86      0.84      0.85   4060539

    accuracy                           0.75   4805513
   macro avg       0.54      0.55      0.55   4805513
weighted avg       0.76      0.75      0.76   4805513

Accuracy: 0.7508178627339058
40-80%
              precision    recall  f1-score   support

           0       0.13      0.26      0.17    235909
           1       0.92      0.84      0.88   2483775

    accuracy                           0.79   2719684
   macro avg       0.53      0.55      0.53   2719684
weighted avg       0.85      0.79      0.82   2719684

Accuracy: 0.7891902147455366
80-90%
              precision    recall  f1-score   support

           0       0.09      0.26      0.13     18577
           1       0.95      0.84      0.89    296772

    accuracy                           0.80    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.80      0.84    315349

Accuracy: 0.8033638920687873
90-100%
              precision    recall  f1-score   support

           0       0.08      0.26      0.13     13620
           1       0.95      0.84      0.89    240209

    accuracy                           0.81    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.81      0.85    253829

Accuracy: 0.8073624369161916

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.75      0.67      0.71  24893266
           1       0.65      0.72      0.68  20563095

    accuracy                           0.70  45456361
   macro avg       0.70      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6958789772018926
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.03      0.55      0.06      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.77      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9858184411930716
1-10%
              precision    recall  f1-score   support

           0       0.82      0.63      0.71  16949103
           1       0.47      0.70      0.57   8016772

    accuracy                           0.65  24965875
   macro avg       0.65      0.67      0.64  24965875
weighted avg       0.71      0.65      0.67  24965875

Accuracy: 0.6545496602862908
10-20%
              precision    recall  f1-score   support

           0       0.37      0.41      0.39   2057494
           1       0.77      0.74      0.75   5461156

    accuracy                           0.65   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.65      0.65   7518650

Accuracy: 0.6473836393501493
20-40%
              precision    recall  f1-score   support

           0       0.21      0.39      0.27    744974
           1       0.87      0.74      0.80   4060539

    accuracy                           0.68   4805513
   macro avg       0.54      0.56      0.54   4805513
weighted avg       0.77      0.68      0.72   4805513

Accuracy: 0.6846078660072296
40-80%
              precision    recall  f1-score   support

           0       0.12      0.38      0.18    235909
           1       0.93      0.74      0.82   2483775

    accuracy                           0.71   2719684
   macro avg       0.52      0.56      0.50   2719684
weighted avg       0.86      0.71      0.77   2719684

Accuracy: 0.7055860166107533
80-90%
              precision    recall  f1-score   support

           0       0.08      0.38      0.13     18577
           1       0.95      0.73      0.83    296772

    accuracy                           0.71    315349
   macro avg       0.52      0.56      0.48    315349
weighted avg       0.90      0.71      0.79    315349

Accuracy: 0.7122553107826567
90-100%
              precision    recall  f1-score   support

           0       0.08      0.39      0.13     13620
           1       0.95      0.73      0.83    240209

    accuracy                           0.72    253829
   macro avg       0.52      0.56      0.48    253829
weighted avg       0.91      0.72      0.79    253829

Accuracy: 0.7150758975530771

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.89      0.28      0.42  22531902
           1       0.50      0.95      0.65  16938696

    accuracy                           0.57  39470598
   macro avg       0.69      0.62      0.54  39470598
weighted avg       0.72      0.57      0.52  39470598

Accuracy: 0.5673319669491707
0-1%
              precision    recall  f1-score   support

           0       1.00      0.96      0.98   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.96   1549999
   macro avg       0.50      0.48      0.49   1549999
weighted avg       1.00      0.96      0.98   1549999

Accuracy: 0.9625902984453538
1-10%
              precision    recall  f1-score   support

           0       0.98      0.32      0.48  11439888
           1       0.13      0.94      0.23   1271288

    accuracy                           0.38  12711176
   macro avg       0.56      0.63      0.36  12711176
weighted avg       0.89      0.38      0.46  12711176

Accuracy: 0.38131381392248836
10-20%
              precision    recall  f1-score   support

           0       0.77      0.13      0.22   5044441
           1       0.45      0.95      0.61   3812372

    accuracy                           0.48   8856813
   macro avg       0.61      0.54      0.41   8856813
weighted avg       0.63      0.48      0.39   8856813

Accuracy: 0.481217792449722
20-40%
              precision    recall  f1-score   support

           0       0.56      0.10      0.17   2995598
           1       0.67      0.96      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.53      0.48   8578813
weighted avg       0.63      0.66      0.57   8578813

Accuracy: 0.6583209122287664
40-80%
              precision    recall  f1-score   support

           0       0.37      0.10      0.16   1295061
           1       0.80      0.96      0.87   5001564

    accuracy                           0.78   6296625
   macro avg       0.59      0.53      0.51   6296625
weighted avg       0.71      0.78      0.73   6296625

Accuracy: 0.7797791674111131
80-90%
              precision    recall  f1-score   support

           0       0.28      0.10      0.15    117971
           1       0.86      0.96      0.91    692761

    accuracy                           0.83    810732
   macro avg       0.57      0.53      0.53    810732
weighted avg       0.78      0.83      0.80    810732

Accuracy: 0.8312216614121559
90-100%
              precision    recall  f1-score   support

           0       0.25      0.10      0.14     88944
           1       0.87      0.96      0.91    577496

    accuracy                           0.84    666440
   macro avg       0.56      0.53      0.53    666440
weighted avg       0.79      0.84      0.81    666440

Accuracy: 0.840927915491267

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048

              precision    recall  f1-score   support

           0       0.85      0.41      0.56  22531902
           1       0.54      0.90      0.67  16938696

    accuracy                           0.62  39470598
   macro avg       0.69      0.66      0.62  39470598
weighted avg       0.72      0.62      0.61  39470598

Accuracy: 0.6240024536745048
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412

              precision    recall  f1-score   support

           0       1.00      0.99      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.99   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      0.99      1.00   1549999

Accuracy: 0.9917967689011412
1-10%
              precision    recall  f1-score   support

           0       0.98      0.55      0.71  12989887
           1       0.16      0.88      0.27   1271288

    accuracy                           0.58  14261175
   macro avg       0.57      0.72      0.49  14261175
weighted avg       0.91      0.58      0.67  14261175

Accuracy: 0.5839330209467313

              precision    recall  f1-score   support

           0       0.97      0.50      0.66  11439888
           1       0.16      0.88      0.27   1271288

    accuracy                           0.53  12711176
   macro avg       0.57      0.69      0.47  12711176
weighted avg       0.89      0.53      0.62  12711176

Accuracy: 0.5341981733240103
10-20%
              precision    recall  f1-score   support

           0       0.94      0.47      0.62  18034328
           1       0.32      0.89      0.47   5083660

    accuracy                           0.56  23117988
   macro avg       0.63      0.68      0.55  23117988
weighted avg       0.80      0.56      0.59  23117988

Accuracy: 0.5617400614620961

              precision    recall  f1-score   support

           0       0.76      0.24      0.37   5044441
           1       0.47      0.90      0.62   3812372

    accuracy                           0.53   8856813
   macro avg       0.62      0.57      0.50   8856813
weighted avg       0.64      0.53      0.48   8856813

Accuracy: 0.5260051217068713
20-40%
              precision    recall  f1-score   support

           0       0.90      0.43      0.58  21029926
           1       0.45      0.90      0.60  10666875

    accuracy                           0.59  31696801
   macro avg       0.67      0.67      0.59  31696801
weighted avg       0.74      0.59      0.59  31696801

Accuracy: 0.5887225969586016

              precision    recall  f1-score   support

           0       0.54      0.20      0.30   2995598
           1       0.68      0.91      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.56      0.54   8578813
weighted avg       0.63      0.66      0.61   8578813

Accuracy: 0.6614345131430187
40-80%
              precision    recall  f1-score   support

           0       0.86      0.42      0.56  22324987
           1       0.52      0.90      0.66  15668439

    accuracy                           0.62  37993426
   macro avg       0.69      0.66      0.61  37993426
weighted avg       0.72      0.62      0.60  37993426

Accuracy: 0.6169883705670555

              precision    recall  f1-score   support

           0       0.35      0.19      0.25   1295061
           1       0.81      0.91      0.86   5001564

    accuracy                           0.76   6296625
   macro avg       0.58      0.55      0.55   6296625
weighted avg       0.72      0.76      0.73   6296625

Accuracy: 0.7592764377742044
80-90%
              precision    recall  f1-score   support

           0       0.25      0.19      0.22    117971
           1       0.87      0.90      0.89    692761

    accuracy                           0.80    810732
   macro avg       0.56      0.55      0.55    810732
weighted avg       0.78      0.80      0.79    810732

Accuracy: 0.8006838264679327
90-100%
              precision    recall  f1-score   support

           0       0.24      0.19      0.21     88944
           1       0.88      0.90      0.89    577496

    accuracy                           0.81    666440
   macro avg       0.56      0.55      0.55    666440
weighted avg       0.79      0.81      0.80    666440

Accuracy: 0.8089370385931217

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.79      0.66      0.72  22531902
           1       0.63      0.77      0.69  16938696

    accuracy                           0.71  39470598
   macro avg       0.71      0.71      0.70  39470598
weighted avg       0.72      0.71      0.71  39470598

Accuracy: 0.7054521190684773
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9998161289136316
1-10%
              precision    recall  f1-score   support

           0       0.96      0.76      0.85  11439888
           1       0.25      0.74      0.38   1271288

    accuracy                           0.76  12711176
   macro avg       0.61      0.75      0.61  12711176
weighted avg       0.89      0.76      0.80  12711176

Accuracy: 0.758062511289278
10-20%
              precision    recall  f1-score   support

           0       0.74      0.51      0.61   5044441
           1       0.54      0.77      0.64   3812372

    accuracy                           0.62   8856813
   macro avg       0.64      0.64      0.62   8856813
weighted avg       0.66      0.62      0.62   8856813

Accuracy: 0.6216626680500085
20-40%
              precision    recall  f1-score   support

           0       0.52      0.46      0.49   2995598
           1       0.73      0.77      0.75   5583215

    accuracy                           0.66   8578813
   macro avg       0.62      0.61      0.62   8578813
weighted avg       0.65      0.66      0.66   8578813

Accuracy: 0.6626260532780001
40-80%
              precision    recall  f1-score   support

           0       0.33      0.44      0.37   1295061
           1       0.84      0.77      0.80   5001564

    accuracy                           0.70   6296625
   macro avg       0.58      0.60      0.59   6296625
weighted avg       0.74      0.70      0.71   6296625

Accuracy: 0.700276100291823
80-90%
              precision    recall  f1-score   support

           0       0.24      0.43      0.31    117971
           1       0.89      0.76      0.82    692761

    accuracy                           0.72    810732
   macro avg       0.56      0.60      0.56    810732
weighted avg       0.79      0.72      0.75    810732

Accuracy: 0.7156125575405929
90-100%
              precision    recall  f1-score   support

           0       0.22      0.43      0.29     88944
           1       0.90      0.76      0.82    577496

    accuracy                           0.72    666440
   macro avg       0.56      0.60      0.56    666440
weighted avg       0.81      0.72      0.75    666440

Accuracy: 0.7187383710461557

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_rtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.73      0.61      0.66  28055468
           1       0.58      0.70      0.64  21729815

    accuracy                           0.65  49785283
   macro avg       0.65      0.66      0.65  49785283
weighted avg       0.66      0.65      0.65  49785283

Accuracy: 0.6490585581285137
0-1%
              precision    recall  f1-score   support

           0       0.75      0.61      0.67  27764588
           1       0.51      0.66      0.58  17098553

    accuracy                           0.63  44863141
   macro avg       0.63      0.64      0.62  44863141
weighted avg       0.66      0.63      0.64  44863141

Accuracy: 0.6299471764582868
1-10%
              precision    recall  f1-score   support

           0       0.08      0.20      0.12    287564
           1       0.94      0.85      0.89   4164787

    accuracy                           0.81   4452351
   macro avg       0.51      0.52      0.50   4452351
weighted avg       0.88      0.81      0.84   4452351

Accuracy: 0.8060067591256844
10-20%
              precision    recall  f1-score   support

           0       0.01      0.01      0.01      2455
           1       0.99      0.99      0.99    257616

    accuracy                           0.98    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.98      0.98    260071

Accuracy: 0.9816357840743489
20-40%
              precision    recall  f1-score   support

           0       0.01      0.00      0.01       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9912975226134866
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.995489503539593
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9964798266991606
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      0.99      5704

Accuracy: 0.9961430575035063

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209
10-20%


              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.80      0.61      0.69  26119367
           1       0.63      0.81      0.71  21615229

    accuracy                           0.70  47734596
   macro avg       0.72      0.71      0.70  47734596
weighted avg       0.72      0.70      0.70  47734596

Accuracy: 0.7027313690892032
0-1%
              precision    recall  f1-score   support

           0       0.98      0.88      0.93  12053010
           1       0.16      0.57      0.25    508421

    accuracy                           0.86  12561431
   macro avg       0.57      0.72      0.59  12561431
weighted avg       0.95      0.86      0.90  12561431

Accuracy: 0.8637601082233386
1-10%
              precision    recall  f1-score   support

           0       0.64      0.40      0.49  13368467
           1       0.59      0.80      0.68  14466820

    accuracy                           0.60  27835287
   macro avg       0.61      0.60      0.58  27835287
weighted avg       0.61      0.60      0.59  27835287

Accuracy: 0.6031365151722704
10-20%
              precision    recall  f1-score   support

           0       0.17      0.19      0.18    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.78   3890639
   macro avg       0.53      0.53      0.53   3890639
weighted avg       0.79      0.78      0.78   3890639

Accuracy: 0.7774925918338864
20-40%
              precision    recall  f1-score   support

           0       0.10      0.18      0.13    147488
           1       0.93      0.87      0.90   1970425

    accuracy                           0.83   2117913
   macro avg       0.52      0.53      0.51   2117913
weighted avg       0.88      0.83      0.85   2117913

Accuracy: 0.8251254891017714
40-80%
              precision    recall  f1-score   support

           0       0.05      0.18      0.08     41616
           1       0.96      0.88      0.92   1064279

    accuracy                           0.85   1105895
   macro avg       0.51      0.53      0.50   1105895
weighted avg       0.93      0.85      0.89   1105895

Accuracy: 0.8510762775851234
80-90%
              precision    recall  f1-score   support

           0       0.04      0.19      0.06      3093
           1       0.98      0.88      0.92    120943

    accuracy                           0.86    124036
   macro avg       0.51      0.53      0.49    124036
weighted avg       0.95      0.86      0.90    124036

Accuracy: 0.8597826437485891
90-100%
              precision    recall  f1-score   support

           0       0.04      0.19      0.06      2328
           1       0.98      0.88      0.93     97067

    accuracy                           0.86     99395
   macro avg       0.51      0.53      0.49     99395
weighted avg       0.96      0.86      0.91     99395

Accuracy: 0.8624679309824438

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26119367
           1       0.70      0.39      0.50  21615229

    accuracy                           0.65  47734596
   macro avg       0.66      0.63      0.61  47734596
weighted avg       0.66      0.65      0.63  47734596

Accuracy: 0.6479074003265891

              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26119367
           1       0.70      0.39      0.50  21615229

    accuracy                           0.65  47734596
   macro avg       0.66      0.63      0.61  47734596
weighted avg       0.66      0.65      0.63  47734596

Accuracy: 0.6479074003265891
0-1%
              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.29      0.27      0.28    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.62      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.9437496412630058

              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.29      0.27      0.28    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.62      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.9437496412630058
1-10%
              precision    recall  f1-score   support

           0       0.71      0.87      0.78  25421477
           1       0.63      0.38      0.48  14975241

    accuracy                           0.69  40396718
   macro avg       0.67      0.63      0.63  40396718
weighted avg       0.68      0.69      0.67  40396718

Accuracy: 0.6880548315831004

              precision    recall  f1-score   support

           0       0.54      0.77      0.63  13368467
           1       0.65      0.39      0.49  14466820

    accuracy                           0.57  27835287
   macro avg       0.59      0.58      0.56  27835287
weighted avg       0.60      0.57      0.56  27835287

Accuracy: 0.5726655881076419
10-20%
              precision    recall  f1-score   support

           0       0.67      0.86      0.75  25924842
           1       0.67      0.39      0.49  18362515

    accuracy                           0.67  44287357
   macro avg       0.67      0.63      0.62  44287357
weighted avg       0.67      0.67      0.64  44287357

Accuracy: 0.6660603160400834

              precision    recall  f1-score   support

           0       0.14      0.64      0.23    503365
           1       0.88      0.41      0.56   3387274

    accuracy                           0.44   3890639
   macro avg       0.51      0.52      0.39   3890639
weighted avg       0.79      0.44      0.52   3890639

Accuracy: 0.437690055541005
20-40%
              precision    recall  f1-score   support

           0       0.64      0.86      0.74  26072330
           1       0.69      0.39      0.50  20332940

    accuracy                           0.65  46405270
   macro avg       0.67      0.63      0.62  46405270
weighted avg       0.66      0.65      0.63  46405270

Accuracy: 0.654789165109911

              precision    recall  f1-score   support

           0       0.07      0.64      0.13    147488
           1       0.94      0.40      0.56   1970425

    accuracy                           0.42   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.42      0.53   2117913

Accuracy: 0.419099840267282
40-80%
              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26113946
           1       0.70      0.39      0.50  21397219

    accuracy                           0.65  47511165
   macro avg       0.66      0.63      0.62  47511165
weighted avg       0.66      0.65      0.63  47511165

Accuracy: 0.6490584055347832

              precision    recall  f1-score   support

           0       0.04      0.65      0.08     41616
           1       0.97      0.40      0.57   1064279

    accuracy                           0.41   1105895
   macro avg       0.50      0.52      0.32   1105895
weighted avg       0.93      0.41      0.55   1105895

Accuracy: 0.40858580606657957
80-90%
              precision    recall  f1-score   support

           0       0.03      0.66      0.05      3093
           1       0.98      0.40      0.57    120943

    accuracy                           0.40    124036
   macro avg       0.50      0.53      0.31    124036
weighted avg       0.95      0.40      0.55    124036

Accuracy: 0.4045841529878422
90-100%
              precision    recall  f1-score   support

           0       0.02      0.63      0.05      2328
           1       0.98      0.40      0.56     97067

    accuracy                           0.40     99395
   macro avg       0.50      0.51      0.31     99395
weighted avg       0.96      0.40      0.55     99395

Accuracy: 0.4013682780823985

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.72      0.00      0.01  21615229

    accuracy                           0.55  47734596
   macro avg       0.63      0.50      0.36  47734596
weighted avg       0.63      0.55      0.39  47734596

Accuracy: 0.5481426929851884
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.52      0.01      0.01    508421

    accuracy                           0.96  12561431
   macro avg       0.74      0.50      0.50  12561431
weighted avg       0.94      0.96      0.94  12561431

Accuracy: 0.9595440201040789
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.71      0.00      0.01  14466820

    accuracy                           0.48  27835287
   macro avg       0.60      0.50      0.33  27835287
weighted avg       0.60      0.48      0.32  27835287

Accuracy: 0.4816420610285067
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.90      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.52      0.50      0.12   3890639
weighted avg       0.80      0.13      0.03   3890639

Accuracy: 0.13073610787328252
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.95      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.51      0.50      0.07   2117913
weighted avg       0.89      0.07      0.01   2117913

Accuracy: 0.07046701162890072
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.98      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.51      0.50      0.04   1105895
weighted avg       0.94      0.04      0.00   1105895

Accuracy: 0.038072330555794176
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.93      0.00      0.00    120943

    accuracy                           0.03    124036
   macro avg       0.48      0.50      0.02    124036
weighted avg       0.91      0.03      0.00    124036

Accuracy: 0.025250733657970266
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       1.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.51      0.50      0.02     99395
weighted avg       0.98      0.02      0.00     99395

Accuracy: 0.023673222999144827

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.79      0.57      0.66  24893266
           1       0.61      0.82      0.70  20563095

    accuracy                           0.68  45456361
   macro avg       0.70      0.69      0.68  45456361
weighted avg       0.71      0.68      0.68  45456361

Accuracy: 0.681543073806546
0-1%
              precision    recall  f1-score   support

           0       1.00      0.97      0.98   4873589
           1       0.02      0.66      0.03      3872

    accuracy                           0.97   4877461
   macro avg       0.51      0.81      0.51   4877461
weighted avg       1.00      0.97      0.98   4877461

Accuracy: 0.9674047624368498
1-10%
              precision    recall  f1-score   support

           0       0.84      0.50      0.63  16949103
           1       0.43      0.80      0.56   8016772

    accuracy                           0.60  24965875
   macro avg       0.64      0.65      0.60  24965875
weighted avg       0.71      0.60      0.61  24965875

Accuracy: 0.5991894135494951
10-20%
              precision    recall  f1-score   support

           0       0.39      0.29      0.33   2057494
           1       0.76      0.83      0.79   5461156

    accuracy                           0.68   7518650
   macro avg       0.57      0.56      0.56   7518650
weighted avg       0.66      0.68      0.67   7518650

Accuracy: 0.6828050248382356
20-40%
              precision    recall  f1-score   support

           0       0.23      0.27      0.25    744974
           1       0.86      0.83      0.85   4060539

    accuracy                           0.75   4805513
   macro avg       0.55      0.55      0.55   4805513
weighted avg       0.76      0.75      0.75   4805513

Accuracy: 0.7461507231381956
40-80%
              precision    recall  f1-score   support

           0       0.13      0.27      0.18    235909
           1       0.92      0.83      0.87   2483775

    accuracy                           0.78   2719684
   macro avg       0.53      0.55      0.53   2719684
weighted avg       0.85      0.78      0.81   2719684

Accuracy: 0.7828302846948395
80-90%
              precision    recall  f1-score   support

           0       0.09      0.27      0.14     18577
           1       0.95      0.83      0.88    296772

    accuracy                           0.80    315349
   macro avg       0.52      0.55      0.51    315349
weighted avg       0.90      0.80      0.84    315349

Accuracy: 0.796406521029082
90-100%
              precision    recall  f1-score   support

           0       0.08      0.27      0.13     13620
           1       0.95      0.83      0.89    240209

    accuracy                           0.80    253829
   macro avg       0.52      0.55      0.51    253829
weighted avg       0.91      0.80      0.85    253829

Accuracy: 0.8001252811932442

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.84      0.45      0.59  22531902
           1       0.55      0.89      0.68  16938696

    accuracy                           0.64  39470598
   macro avg       0.69      0.67      0.63  39470598
weighted avg       0.72      0.64      0.63  39470598

Accuracy: 0.6385302548494451
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999
           1       0.00      0.00      0.00         0

    accuracy                           1.00   1549999
   macro avg       0.50      0.50      0.50   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 0.9950470935787701
1-10%
              precision    recall  f1-score   support

           0       0.97      0.54      0.70  11439888
           1       0.17      0.86      0.29   1271288

    accuracy                           0.57  12711176
   macro avg       0.57      0.70      0.49  12711176
weighted avg       0.89      0.57      0.66  12711176

Accuracy: 0.5738562663281509
10-20%
              precision    recall  f1-score   support

           0       0.76      0.28      0.41   5044441
           1       0.48      0.88      0.62   3812372

    accuracy                           0.54   8856813
   macro avg       0.62      0.58      0.52   8856813
weighted avg       0.64      0.54      0.50   8856813

Accuracy: 0.5395612394661601
20-40%
              precision    recall  f1-score   support

           0       0.54      0.24      0.33   2995598
           1       0.68      0.89      0.77   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.56      0.55   8578813
weighted avg       0.63      0.66      0.62   8578813

Accuracy: 0.6619618588259238
40-80%
              precision    recall  f1-score   support

           0       0.34      0.22      0.27   1295061
           1       0.82      0.89      0.85   5001564

    accuracy                           0.75   6296625
   macro avg       0.58      0.56      0.56   6296625
weighted avg       0.72      0.75      0.73   6296625

Accuracy: 0.7521746967621543
80-90%
              precision    recall  f1-score   support

           0       0.25      0.22      0.24    117971
           1       0.87      0.89      0.88    692761

    accuracy                           0.79    810732
   macro avg       0.56      0.55      0.56    810732
weighted avg       0.78      0.79      0.78    810732

Accuracy: 0.7904227290892675
90-100%
              precision    recall  f1-score   support

           0       0.23      0.22      0.23     88944
           1       0.88      0.89      0.88    577496

    accuracy                           0.80    666440
   macro avg       0.56      0.55      0.56    666440
weighted avg       0.79      0.80      0.80    666440

Accuracy: 0.7980283296320749

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%


              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_rtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.42      0.57  28055468
           1       0.55      0.91      0.69  21729815

    accuracy                           0.64  49785283
   macro avg       0.71      0.67      0.63  49785283
weighted avg       0.73      0.64      0.62  49785283

Accuracy: 0.637671940119332
0-1%
              precision    recall  f1-score   support

           0       0.87      0.43      0.57  27764588
           1       0.49      0.89      0.63  17098553

    accuracy                           0.61  44863141
   macro avg       0.68      0.66      0.60  44863141
weighted avg       0.72      0.61      0.60  44863141

Accuracy: 0.6054168833163064
1-10%
              precision    recall  f1-score   support

           0       0.09      0.02      0.03    287564
           1       0.94      0.99      0.96   4164787

    accuracy                           0.93   4452351
   macro avg       0.51      0.50      0.50   4452351
weighted avg       0.88      0.93      0.90   4452351

Accuracy: 0.925197945984043
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905410445609084
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949705472197032
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439

              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055468
           1       0.54      0.21      0.30  21729815

    accuracy                           0.58  49785283
   macro avg       0.56      0.53      0.50  49785283
weighted avg       0.56      0.58      0.52  49785283

Accuracy: 0.5765067158501439
0-1%
              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326

              precision    recall  f1-score   support

           0       0.65      0.86      0.74  27764588
           1       0.53      0.25      0.34  17098553

    accuracy                           0.63  44863141
   macro avg       0.59      0.55      0.54  44863141
weighted avg       0.60      0.63      0.59  44863141

Accuracy: 0.628007232039326
1-10%
              precision    recall  f1-score   support

           0       0.06      0.94      0.12    287564
           1       0.93      0.06      0.11   4164787

    accuracy                           0.12   4452351
   macro avg       0.50      0.50      0.12   4452351
weighted avg       0.88      0.12      0.11   4452351

Accuracy: 0.11696472268246597

              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28052152
           1       0.54      0.21      0.30  21263340

    accuracy                           0.58  49315492
   macro avg       0.56      0.54      0.50  49315492
weighted avg       0.57      0.58      0.53  49315492

Accuracy: 0.5818687766513614
10-20%
              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28054607
           1       0.54      0.21      0.30  21520956

    accuracy                           0.58  49575563
   macro avg       0.56      0.54      0.50  49575563
weighted avg       0.57      0.58      0.53  49575563

Accuracy: 0.5789129414425409

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.99      0.01      0.02    257616

    accuracy                           0.02    260071
   macro avg       0.50      0.50      0.02    260071
weighted avg       0.99      0.02      0.02    260071

Accuracy: 0.01841804737936948
20-40%
              precision    recall  f1-score   support

           0       0.59      0.86      0.70  28055266
           1       0.54      0.21      0.30  21651524

    accuracy                           0.58  49706790
   macro avg       0.56      0.54      0.50  49706790
weighted avg       0.56      0.58      0.52  49706790

Accuracy: 0.577409705997913

              precision    recall  f1-score   support

           0       0.01      0.99      0.01       659
           1       0.99      0.00      0.01    130568

    accuracy                           0.01    131227
   macro avg       0.50      0.50      0.01    131227
weighted avg       0.99      0.01      0.01    131227

Accuracy: 0.009510237984561104
40-80%
              precision    recall  f1-score   support

           0       0.58      0.86      0.70  28055435
           1       0.54      0.21      0.30  21716758

    accuracy                           0.58  49772193
   macro avg       0.56      0.53      0.50  49772193
weighted avg       0.56      0.58      0.52  49772193

Accuracy: 0.576657130619099

              precision    recall  f1-score   support

           0       0.00      0.99      0.01       169
           1       0.99      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.50      0.50      0.00     65403
weighted avg       0.99      0.00      0.00     65403

Accuracy: 0.004693974282525266
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       1.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.50      0.50      0.00      7386
weighted avg       1.00      0.00      0.00      7386

Accuracy: 0.003926347143243975
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       1.00      0.00      0.00      5686

    accuracy                           0.01      5704
   macro avg       0.50      0.50      0.01      5704
weighted avg       1.00      0.01      0.00      5704

Accuracy: 0.005434782608695652

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.50      0.64  26119367
           1       0.61      0.92      0.73  21615229

    accuracy                           0.69  47734596
   macro avg       0.74      0.71      0.69  47734596
weighted avg       0.76      0.69      0.68  47734596

Accuracy: 0.6921751888295022
0-1%
              precision    recall  f1-score   support

           0       0.98      0.82      0.89  12053010
           1       0.13      0.67      0.22    508421

    accuracy                           0.81  12561431
   macro avg       0.56      0.74      0.56  12561431
weighted avg       0.95      0.81      0.86  12561431

Accuracy: 0.809702652508301
1-10%
              precision    recall  f1-score   support

           0       0.70      0.25      0.36  13368467
           1       0.56      0.90      0.69  14466820

    accuracy                           0.59  27835287
   macro avg       0.63      0.57      0.53  27835287
weighted avg       0.63      0.59      0.54  27835287

Accuracy: 0.5865506613960905
10-20%
              precision    recall  f1-score   support

           0       0.18      0.04      0.06    503365
           1       0.87      0.97      0.92   3387274

    accuracy                           0.85   3890639
   macro avg       0.52      0.51      0.49   3890639
weighted avg       0.78      0.85      0.81   3890639

Accuracy: 0.8534222784483474
20-40%
              precision    recall  f1-score   support

           0       0.09      0.02      0.03    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.51      0.50      0.49   2117913
weighted avg       0.87      0.92      0.89   2117913

Accuracy: 0.9195750722527318
40-80%
              precision    recall  f1-score   support

           0       0.05      0.01      0.02     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.51      0.50      0.50   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9564443278973139
80-90%
              precision    recall  f1-score   support

           0       0.05      0.01      0.02      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.51      0.50      0.50    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9711777225966655
90-100%
              precision    recall  f1-score   support

           0       0.05      0.01      0.01      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.51      0.50      0.50     99395
weighted avg       0.95      0.97      0.96     99395

Accuracy: 0.9733588208662407

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.71      0.74      0.72  26119367
           1       0.67      0.64      0.66  21615229

    accuracy                           0.69  47734596
   macro avg       0.69      0.69      0.69  47734596
weighted avg       0.69      0.69      0.69  47734596

Accuracy: 0.6935438397760819

              precision    recall  f1-score   support

           0       0.71      0.74      0.72  26119367
           1       0.67      0.64      0.66  21615229

    accuracy                           0.69  47734596
   macro avg       0.69      0.69      0.69  47734596
weighted avg       0.69      0.69      0.69  47734596

Accuracy: 0.6935438397760819
0-1%
              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.44      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.68      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9118375923889563

              precision    recall  f1-score   support

           0       0.98      0.93      0.95  12053010
           1       0.21      0.44      0.29    508421

    accuracy                           0.91  12561431
   macro avg       0.59      0.68      0.62  12561431
weighted avg       0.94      0.91      0.93  12561431

Accuracy: 0.9118375923889563
1-10%
              precision    recall  f1-score   support

           0       0.77      0.74      0.76  25421477
           1       0.59      0.62      0.61  14975241

    accuracy                           0.70  40396718
   macro avg       0.68      0.68      0.68  40396718
weighted avg       0.70      0.70      0.70  40396718

Accuracy: 0.699548463318233

              precision    recall  f1-score   support

           0       0.59      0.58      0.58  13368467
           1       0.62      0.63      0.62  14466820

    accuracy                           0.60  27835287
   macro avg       0.60      0.60      0.60  27835287
weighted avg       0.60      0.60      0.60  27835287

Accuracy: 0.6037472148212447
10-20%
              precision    recall  f1-score   support

           0       0.74      0.74      0.74  25924842
           1       0.63      0.63      0.63  18362515

    accuracy                           0.70  44287357
   macro avg       0.69      0.69      0.69  44287357
weighted avg       0.70      0.70      0.70  44287357

Accuracy: 0.6950480923935018

              precision    recall  f1-score   support

           0       0.15      0.38      0.22    503365
           1       0.88      0.69      0.77   3387274

    accuracy                           0.65   3890639
   macro avg       0.52      0.53      0.50   3890639
weighted avg       0.79      0.65      0.70   3890639

Accuracy: 0.6483204943969358
20-40%
              precision    recall  f1-score   support

           0       0.72      0.74      0.73  26072330
           1       0.65      0.64      0.65  20332940

    accuracy                           0.69  46405270
   macro avg       0.69      0.69      0.69  46405270
weighted avg       0.69      0.69      0.69  46405270

Accuracy: 0.6938819664232101

              precision    recall  f1-score   support

           0       0.08      0.37      0.14    147488
           1       0.94      0.69      0.80   1970425

    accuracy                           0.67   2117913
   macro avg       0.51      0.53      0.47   2117913
weighted avg       0.88      0.67      0.75   2117913

Accuracy: 0.6694972834106028
40-80%
              precision    recall  f1-score   support

           0       0.72      0.74      0.73  26113946
           1       0.67      0.64      0.65  21397219

    accuracy                           0.69  47511165
   macro avg       0.69      0.69      0.69  47511165
weighted avg       0.69      0.69      0.69  47511165

Accuracy: 0.6935845711213354

              precision    recall  f1-score   support

           0       0.05      0.37      0.08     41616
           1       0.97      0.69      0.81   1064279

    accuracy                           0.68   1105895
   macro avg       0.51      0.53      0.44   1105895
weighted avg       0.93      0.68      0.78   1105895

Accuracy: 0.6811053490611676
80-90%
              precision    recall  f1-score   support

           0       0.03      0.38      0.06      3093
           1       0.98      0.69      0.81    120943

    accuracy                           0.68    124036
   macro avg       0.50      0.54      0.43    124036
weighted avg       0.95      0.68      0.79    124036

Accuracy: 0.6846399432422845
90-100%
              precision    recall  f1-score   support

           0       0.03      0.36      0.05      2328
           1       0.98      0.69      0.81     97067

    accuracy                           0.69     99395
   macro avg       0.50      0.53      0.43     99395
weighted avg       0.96      0.69      0.79     99395

Accuracy: 0.6851853714975602

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.63      0.86      0.73  26119367
           1       0.70      0.39      0.50  21615229

    accuracy                           0.65  47734596
   macro avg       0.67      0.63      0.62  47734596
weighted avg       0.66      0.65      0.63  47734596

Accuracy: 0.6482876905462864
0-1%
              precision    recall  f1-score   support

           0       0.97      0.97      0.97  12053010
           1       0.29      0.27      0.28    508421

    accuracy                           0.94  12561431
   macro avg       0.63      0.62      0.63  12561431
weighted avg       0.94      0.94      0.94  12561431

Accuracy: 0.9436225060663869
1-10%
              precision    recall  f1-score   support

           0       0.54      0.77      0.63  13368467
           1       0.65      0.39      0.49  14466820

    accuracy                           0.57  27835287
   macro avg       0.59      0.58      0.56  27835287
weighted avg       0.60      0.57      0.56  27835287

Accuracy: 0.5729525619764582
10-20%
              precision    recall  f1-score   support

           0       0.14      0.64      0.23    503365
           1       0.88      0.41      0.56   3387274

    accuracy                           0.44   3890639
   macro avg       0.51      0.52      0.39   3890639
weighted avg       0.79      0.44      0.52   3890639

Accuracy: 0.4391196407582405
20-40%
              precision    recall  f1-score   support

           0       0.07      0.64      0.13    147488
           1       0.94      0.40      0.57   1970425

    accuracy                           0.42   2117913
   macro avg       0.51      0.52      0.35   2117913
weighted avg       0.88      0.42      0.54   2117913

Accuracy: 0.42082984522971434
40-80%
              precision    recall  f1-score   support

           0       0.04      0.64      0.08     41616
           1       0.97      0.40      0.57   1064279

    accuracy                           0.41   1105895
   macro avg       0.50      0.52      0.32   1105895
weighted avg       0.93      0.41      0.55   1105895

Accuracy: 0.4104621143960322
80-90%
              precision    recall  f1-score   support

           0       0.03      0.66      0.05      3093
           1       0.98      0.40      0.57    120943

    accuracy                           0.41    124036
   macro avg       0.50      0.53      0.31    124036
weighted avg       0.95      0.41      0.56    124036

Accuracy: 0.40684156212712436
90-100%
              precision    recall  f1-score   support

           0       0.02      0.63      0.05      2328
           1       0.98      0.40      0.57     97067

    accuracy                           0.40     99395
   macro avg       0.50      0.51      0.31     99395
weighted avg       0.96      0.40      0.55     99395

Accuracy: 0.40318929523617886

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.47      0.60  24893266
           1       0.58      0.88      0.70  20563095

    accuracy                           0.66  45456361
   macro avg       0.71      0.68      0.65  45456361
weighted avg       0.72      0.66      0.65  45456361

Accuracy: 0.6589380526962992
0-1%
              precision    recall  f1-score   support

           0       1.00      0.94      0.97   4873589
           1       0.01      0.73      0.02      3872

    accuracy                           0.94   4877461
   macro avg       0.50      0.83      0.49   4877461
weighted avg       1.00      0.94      0.97   4877461

Accuracy: 0.9415833360840814
1-10%
              precision    recall  f1-score   support

           0       0.86      0.39      0.54  16949103
           1       0.40      0.87      0.55   8016772

    accuracy                           0.54  24965875
   macro avg       0.63      0.63      0.54  24965875
weighted avg       0.71      0.54      0.54  24965875

Accuracy: 0.5440402148933294
10-20%
              precision    recall  f1-score   support

           0       0.40      0.19      0.25   2057494
           1       0.74      0.89      0.81   5461156

    accuracy                           0.70   7518650
   macro avg       0.57      0.54      0.53   7518650
weighted avg       0.65      0.70      0.66   7518650

Accuracy: 0.6999272475776901
20-40%
              precision    recall  f1-score   support

           0       0.23      0.17      0.20    744974
           1       0.86      0.90      0.87   4060539

    accuracy                           0.78   4805513
   macro avg       0.54      0.53      0.54   4805513
weighted avg       0.76      0.78      0.77   4805513

Accuracy: 0.7835698290692378
40-80%
              precision    recall  f1-score   support

           0       0.14      0.17      0.15    235909
           1       0.92      0.90      0.91   2483775

    accuracy                           0.83   2719684
   macro avg       0.53      0.53      0.53   2719684
weighted avg       0.85      0.83      0.84   2719684

Accuracy: 0.8325397362340625
80-90%
              precision    recall  f1-score   support

           0       0.09      0.18      0.12     18577
           1       0.95      0.89      0.92    296772

    accuracy                           0.85    315349
   macro avg       0.52      0.54      0.52    315349
weighted avg       0.90      0.85      0.87    315349

Accuracy: 0.8514661533729296
90-100%
              precision    recall  f1-score   support

           0       0.09      0.18      0.12     13620
           1       0.95      0.89      0.92    240209

    accuracy                           0.86    253829
   macro avg       0.52      0.54      0.52    253829
weighted avg       0.90      0.86      0.88    253829

Accuracy: 0.8558241966048009

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24893266
           1       0.65      0.70      0.67  20563095

    accuracy                           0.70  45456361
   macro avg       0.69      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6964883968604526

              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24893266
           1       0.65      0.70      0.67  20563095

    accuracy                           0.70  45456361
   macro avg       0.69      0.70      0.70  45456361
weighted avg       0.70      0.70      0.70  45456361

Accuracy: 0.6964883968604526
0-1%
              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9887078543529103

              precision    recall  f1-score   support

           0       1.00      0.99      0.99   4873589
           1       0.04      0.53      0.07      3872

    accuracy                           0.99   4877461
   macro avg       0.52      0.76      0.53   4877461
weighted avg       1.00      0.99      0.99   4877461

Accuracy: 0.9887078543529103
1-10%
              precision    recall  f1-score   support

           0       0.81      0.66      0.73  16949103
           1       0.49      0.67      0.56   8016772

    accuracy                           0.67  24965875
   macro avg       0.65      0.67      0.65  24965875
weighted avg       0.71      0.67      0.68  24965875

Accuracy: 0.6656533368047385

              precision    recall  f1-score   support

           0       0.86      0.73      0.79  21822692
           1       0.48      0.67      0.56   8020644

    accuracy                           0.72  29843336
   macro avg       0.67      0.70      0.68  29843336
weighted avg       0.76      0.72      0.73  29843336

Accuracy: 0.7184519183780258
10-20%
              precision    recall  f1-score   support

           0       0.80      0.71      0.75  23880186
           1       0.57      0.69      0.62  13481800

    accuracy                           0.70  37361986
   macro avg       0.69      0.70      0.69  37361986
weighted avg       0.72      0.70      0.71  37361986

Accuracy: 0.7016109636141933

              precision    recall  f1-score   support

           0       0.36      0.43      0.39   2057494
           1       0.77      0.71      0.74   5461156

    accuracy                           0.63   7518650
   macro avg       0.57      0.57      0.57   7518650
weighted avg       0.66      0.63      0.64   7518650

Accuracy: 0.6347651506586954
20-40%
              precision    recall  f1-score   support

           0       0.76      0.70      0.73  24625160
           1       0.62      0.69      0.66  17542339

    accuracy                           0.70  42167499
   macro avg       0.69      0.70      0.69  42167499
weighted avg       0.70      0.70      0.70  42167499

Accuracy: 0.6974811809445943

              precision    recall  f1-score   support

           0       0.21      0.41      0.28    744974
           1       0.87      0.71      0.78   4060539

    accuracy                           0.67   4805513
   macro avg       0.54      0.56      0.53   4805513
weighted avg       0.77      0.67      0.70   4805513

Accuracy: 0.6653728748626837
40-80%
              precision    recall  f1-score   support

           0       0.12      0.41      0.18    235909
           1       0.93      0.71      0.80   2483775

    accuracy                           0.68   2719684
   macro avg       0.52      0.56      0.49   2719684
weighted avg       0.86      0.68      0.75   2719684

Accuracy: 0.6826465868828878

              precision    recall  f1-score   support

           0       0.74      0.70      0.72  24861069
           1       0.65      0.70      0.67  20026114

    accuracy                           0.70  44887183
   macro avg       0.69      0.70      0.69  44887183
weighted avg       0.70      0.70      0.70  44887183

Accuracy: 0.6965823629431145
80-90%
              precision    recall  f1-score   support

           0       0.08      0.41      0.13     18577
           1       0.95      0.71      0.81    296772

    accuracy                           0.69    315349
   macro avg       0.51      0.56      0.47    315349
weighted avg       0.90      0.69      0.77    315349

Accuracy: 0.6880281846462174
90-100%
              precision    recall  f1-score   support

           0       0.07      0.41      0.12     13620
           1       0.95      0.71      0.81    240209

    accuracy                           0.69    253829
   macro avg       0.51      0.56      0.47    253829
weighted avg       0.91      0.69      0.78    253829

Accuracy: 0.690382107639395

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.36      0.51  22531902
           1       0.52      0.92      0.67  16938696

    accuracy                           0.60  39470598
   macro avg       0.69      0.64      0.59  39470598
weighted avg       0.72      0.60      0.58  39470598

Accuracy: 0.6025999910110306
0-1%
              precision    recall  f1-score   support

           0       1.00      0.98      0.99   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.98   1549999
   macro avg       0.50      0.49      0.50   1549999
weighted avg       1.00      0.98      0.99   1549999

Accuracy: 0.9845186996894837
1-10%
              precision    recall  f1-score   support

           0       0.98      0.43      0.59  11439888
           1       0.15      0.91      0.26   1271288

    accuracy                           0.48  12711176
   macro avg       0.56      0.67      0.43  12711176
weighted avg       0.89      0.48      0.56  12711176

Accuracy: 0.47569980936460954
10-20%
              precision    recall  f1-score   support

           0       0.77      0.20      0.31   5044441
           1       0.46      0.92      0.62   3812372

    accuracy                           0.51   8856813
   macro avg       0.61      0.56      0.46   8856813
weighted avg       0.64      0.51      0.44   8856813

Accuracy: 0.5078191218443926
20-40%
              precision    recall  f1-score   support

           0       0.55      0.16      0.25   2995598
           1       0.67      0.93      0.78   5583215

    accuracy                           0.66   8578813
   macro avg       0.61      0.55      0.52   8578813
weighted avg       0.63      0.66      0.60   8578813

Accuracy: 0.6606852253336213
40-80%
              precision    recall  f1-score   support

           0       0.35      0.15      0.21   1295061
           1       0.81      0.93      0.86   5001564

    accuracy                           0.77   6296625
   macro avg       0.58      0.54      0.54   6296625
weighted avg       0.72      0.77      0.73   6296625

Accuracy: 0.7683671808310008
80-90%
              precision    recall  f1-score   support

           0       0.26      0.15      0.19    117971
           1       0.87      0.93      0.89    692761

    accuracy                           0.81    810732
   macro avg       0.56      0.54      0.54    810732
weighted avg       0.78      0.81      0.79    810732

Accuracy: 0.814206174173463
90-100%
              precision    recall  f1-score   support

           0       0.24      0.15      0.19     88944
           1       0.88      0.93      0.90    577496

    accuracy                           0.82    666440
   macro avg       0.56      0.54      0.54    666440
weighted avg       0.79      0.82      0.81    666440

Accuracy: 0.8230268291219014

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.86      0.20      0.32  28055468
           1       0.48      0.96      0.64  21729815

    accuracy                           0.53  49785283
   macro avg       0.67      0.58      0.48  49785283
weighted avg       0.70      0.53      0.46  49785283

Accuracy: 0.529126027063058
0-1%
              precision    recall  f1-score   support

           0       0.89      0.20      0.32  27764588
           1       0.42      0.96      0.59  17098553

    accuracy                           0.49  44863141
   macro avg       0.66      0.58      0.46  44863141
weighted avg       0.71      0.49      0.42  44863141

Accuracy: 0.48753207003495364
1-10%
              precision    recall  f1-score   support

           0       0.08      0.05      0.06    287564
           1       0.94      0.96      0.95   4164787

    accuracy                           0.90   4452351
   macro avg       0.51      0.50      0.50   4452351
weighted avg       0.88      0.90      0.89   4452351

Accuracy: 0.9032551566576849
10-20%
              precision    recall  f1-score   support

           0       0.02      0.07      0.03      2455
           1       0.99      0.96      0.98    257616

    accuracy                           0.95    260071
   macro avg       0.50      0.51      0.50    260071
weighted avg       0.98      0.95      0.97    260071

Accuracy: 0.953128184226615
20-40%
              precision    recall  f1-score   support

           0       0.01      0.08      0.02       659
           1       1.00      0.96      0.98    130568

    accuracy                           0.96    131227
   macro avg       0.50      0.52      0.50    131227
weighted avg       0.99      0.96      0.97    131227

Accuracy: 0.9576687724325025
40-80%
              precision    recall  f1-score   support

           0       0.01      0.14      0.02       169
           1       1.00      0.96      0.98     65234

    accuracy                           0.96     65403
   macro avg       0.50      0.55      0.50     65403
weighted avg       1.00      0.96      0.98     65403

Accuracy: 0.9591456049416693
80-90%
              precision    recall  f1-score   support

           0       0.01      0.13      0.01        15
           1       1.00      0.96      0.98      7371

    accuracy                           0.96      7386
   macro avg       0.50      0.55      0.50      7386
weighted avg       1.00      0.96      0.98      7386

Accuracy: 0.9611427024099648
90-100%
              precision    recall  f1-score   support

           0       0.02      0.22      0.03        18
           1       1.00      0.96      0.98      5686

    accuracy                           0.96      5704
   macro avg       0.51      0.59      0.51      5704
weighted avg       0.99      0.96      0.98      5704

Accuracy: 0.960203366058906

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055468
           1       0.51      0.90      0.65  21729815

    accuracy                           0.58  49785283
   macro avg       0.66      0.62      0.56  49785283
weighted avg       0.68      0.58      0.55  49785283

Accuracy: 0.5817977573814334
0-1%
              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015

              precision    recall  f1-score   support

           0       0.84      0.34      0.48  27764588
           1       0.46      0.90      0.60  17098553

    accuracy                           0.55  44863141
   macro avg       0.65      0.62      0.54  44863141
weighted avg       0.69      0.55      0.53  44863141

Accuracy: 0.5518211263897015
1-10%
              precision    recall  f1-score   support

           0       0.08      0.12      0.09    287564
           1       0.94      0.90      0.92   4164787

    accuracy                           0.85   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.85      0.87   4452351

Accuracy: 0.8509160665904373

              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28052152
           1       0.51      0.90      0.65  21263340

    accuracy                           0.58  49315492
   macro avg       0.66      0.62      0.56  49315492
weighted avg       0.68      0.58      0.55  49315492

Accuracy: 0.5788243175187221
10-20%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28054607
           1       0.51      0.90      0.65  21520956

    accuracy                           0.58  49575563
   macro avg       0.66      0.62      0.56  49575563
weighted avg       0.68      0.58      0.55  49575563

Accuracy: 0.5804661663650699

              precision    recall  f1-score   support

           0       0.01      0.13      0.02      2455
           1       0.99      0.90      0.94    257616

    accuracy                           0.89    260071
   macro avg       0.50      0.51      0.48    260071
weighted avg       0.98      0.89      0.93    260071

Accuracy: 0.8917987780260006
20-40%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055266
           1       0.51      0.90      0.65  21651524

    accuracy                           0.58  49706790
   macro avg       0.66      0.62      0.56  49706790
weighted avg       0.68      0.58      0.55  49706790

Accuracy: 0.5813016692488089

              precision    recall  f1-score   support

           0       0.01      0.16      0.02       659
           1       1.00      0.90      0.95    130568

    accuracy                           0.90    131227
   macro avg       0.50      0.53      0.48    131227
weighted avg       0.99      0.90      0.94    131227

Accuracy: 0.8969419403019195
40-80%
              precision    recall  f1-score   support

           0       0.81      0.34      0.48  28055435
           1       0.51      0.90      0.65  21716758

    accuracy                           0.58  49772193
   macro avg       0.66      0.62      0.56  49772193
weighted avg       0.68      0.58      0.55  49772193

Accuracy: 0.5817143319363083

              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.90      0.94     65234

    accuracy                           0.90     65403
   macro avg       0.50      0.54      0.48     65403
weighted avg       1.00      0.90      0.94     65403

Accuracy: 0.8953411923000474
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.90      0.94      7371

    accuracy                           0.90      7386
   macro avg       0.50      0.52      0.47      7386
weighted avg       1.00      0.90      0.94      7386

Accuracy: 0.8952071486596264
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.02        18
           1       1.00      0.91      0.95      5686

    accuracy                           0.90      5704
   macro avg       0.50      0.59      0.48      5704
weighted avg       0.99      0.90      0.95      5704

Accuracy: 0.9039270687237027

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.04      0.07  26119367
           1       0.46      1.00      0.63  21615229

    accuracy                           0.47  47734596
   macro avg       0.69      0.52      0.35  47734596
weighted avg       0.71      0.47      0.32  47734596

Accuracy: 0.4712758436250304
0-1%
              precision    recall  f1-score   support

           0       1.00      0.07      0.13  12053010
           1       0.04      1.00      0.08    508421

    accuracy                           0.11  12561431
   macro avg       0.52      0.53      0.11  12561431
weighted avg       0.96      0.11      0.13  12561431

Accuracy: 0.10621369492058667
1-10%
              precision    recall  f1-score   support

           0       0.69      0.01      0.02  13368467
           1       0.52      1.00      0.68  14466820

    accuracy                           0.52  27835287
   macro avg       0.61      0.50      0.35  27835287
weighted avg       0.60      0.52      0.37  27835287

Accuracy: 0.5224117143106878
10-20%
              precision    recall  f1-score   support

           0       0.27      0.01      0.02    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.57      0.50      0.47   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8683434777680479
20-40%
              precision    recall  f1-score   support

           0       0.20      0.01      0.03    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.56      0.50      0.49   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9274205314382602
40-80%
              precision    recall  f1-score   support

           0       0.16      0.02      0.04     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.56      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9590566916388988
80-90%
              precision    recall  f1-score   support

           0       0.16      0.03      0.05      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.97    124036
   macro avg       0.57      0.51      0.52    124036
weighted avg       0.96      0.97      0.96    124036

Accuracy: 0.9715808313715373
90-100%
              precision    recall  f1-score   support

           0       0.16      0.03      0.05      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.57      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9734091252075054

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465

              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26119367
           1       0.47      0.99      0.64  21615229

    accuracy                           0.49  47734596
   macro avg       0.68      0.53      0.39  47734596
weighted avg       0.70      0.49      0.37  47734596

Accuracy: 0.49043582562215465
0-1%
              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518

              precision    recall  f1-score   support

           0       1.00      0.14      0.25  12053010
           1       0.05      0.99      0.09    508421

    accuracy                           0.17  12561431
   macro avg       0.52      0.56      0.17  12561431
weighted avg       0.96      0.17      0.24  12561431

Accuracy: 0.1745133973987518
1-10%
              precision    recall  f1-score   support

           0       0.92      0.08      0.15  25421477
           1       0.39      0.99      0.56  14975241

    accuracy                           0.42  40396718
   macro avg       0.65      0.53      0.35  40396718
weighted avg       0.72      0.42      0.30  40396718

Accuracy: 0.4166934551465295

              precision    recall  f1-score   support

           0       0.67      0.03      0.05  13368467
           1       0.52      0.99      0.68  14466820

    accuracy                           0.53  27835287
   macro avg       0.60      0.51      0.37  27835287
weighted avg       0.59      0.53      0.38  27835287

Accuracy: 0.5259837989096359
10-20%
              precision    recall  f1-score   support

           0       0.90      0.08      0.15  25924842
           1       0.43      0.99      0.60  18362515

    accuracy                           0.46  44287357
   macro avg       0.67      0.53      0.37  44287357
weighted avg       0.71      0.46      0.33  44287357

Accuracy: 0.4559228494940441

              precision    recall  f1-score   support

           0       0.21      0.02      0.04    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.86   3890639
   macro avg       0.54      0.50      0.48   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8632438013395743
20-40%
              precision    recall  f1-score   support

           0       0.90      0.08      0.14  26072330
           1       0.46      0.99      0.62  20332940

    accuracy                           0.48  46405270
   macro avg       0.68      0.53      0.38  46405270
weighted avg       0.70      0.48      0.35  46405270

Accuracy: 0.47715774523022925

              precision    recall  f1-score   support

           0       0.14      0.03      0.04    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.54      0.51      0.50   2117913
weighted avg       0.88      0.92      0.90   2117913

Accuracy: 0.9211974240679386
40-80%
              precision    recall  f1-score   support

           0       0.89      0.08      0.14  26113946
           1       0.47      0.99      0.63  21397219

    accuracy                           0.49  47511165
   macro avg       0.68      0.53      0.39  47511165
weighted avg       0.70      0.49      0.37  47511165

Accuracy: 0.48820526711984435

              precision    recall  f1-score   support

           0       0.09      0.03      0.05     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.95   1105895
   macro avg       0.53      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.9517784238105788
80-90%
              precision    recall  f1-score   support

           0       0.09      0.05      0.06      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.96    124036
   macro avg       0.53      0.52      0.52    124036
weighted avg       0.95      0.96      0.96    124036

Accuracy: 0.9637363346125318
90-100%
              precision    recall  f1-score   support

           0       0.08      0.04      0.05      2328
           1       0.98      0.99      0.98     97067

    accuracy                           0.97     99395
   macro avg       0.53      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9660143870416017

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.94      0.02      0.04  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.46  45456361
   macro avg       0.70      0.51      0.33  45456361
weighted avg       0.72      0.46      0.31  45456361

Accuracy: 0.4634114024217645
0-1%
              precision    recall  f1-score   support

           0       1.00      0.08      0.15   4873589
           1       0.00      1.00      0.00      3872

    accuracy                           0.08   4877461
   macro avg       0.50      0.54      0.07   4877461
weighted avg       1.00      0.08      0.14   4877461

Accuracy: 0.07890129721180754
1-10%
              precision    recall  f1-score   support

           0       0.90      0.01      0.02  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.50      0.25  24965875
weighted avg       0.72      0.33      0.17  24965875

Accuracy: 0.32577632468319256
10-20%
              precision    recall  f1-score   support

           0       0.59      0.01      0.01   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.66      0.50      0.43   7518650
weighted avg       0.69      0.73      0.61   7518650

Accuracy: 0.7268287525021114
20-40%
              precision    recall  f1-score   support

           0       0.52      0.01      0.02    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.85   4805513
   macro avg       0.68      0.50      0.47   4805513
weighted avg       0.80      0.85      0.78   4805513

Accuracy: 0.8450872986921479
40-80%
              precision    recall  f1-score   support

           0       0.52      0.01      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.72      0.51      0.49   2719684
weighted avg       0.88      0.91      0.87   2719684

Accuracy: 0.9133406675187264
80-90%
              precision    recall  f1-score   support

           0       0.52      0.02      0.04     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.73      0.51      0.50    315349
weighted avg       0.92      0.94      0.91    315349

Accuracy: 0.9411953105923913
90-100%
              precision    recall  f1-score   support

           0       0.50      0.02      0.04     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.73      0.51      0.51    253829
weighted avg       0.92      0.95      0.92    253829

Accuracy: 0.9463654665148584

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504

              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.69      0.52      0.36  45456361
weighted avg       0.71      0.47      0.33  45456361

Accuracy: 0.47456570489661504
0-1%
              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604

              precision    recall  f1-score   support

           0       1.00      0.15      0.27   4873589
           1       0.00      0.99      0.00      3872

    accuracy                           0.15   4877461
   macro avg       0.50      0.57      0.13   4877461
weighted avg       1.00      0.15      0.27   4877461

Accuracy: 0.15409431259419604
1-10%
              precision    recall  f1-score   support

           0       0.89      0.02      0.04  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.51      0.26  24965875
weighted avg       0.71      0.33      0.18  24965875

Accuracy: 0.3323101633730042

              precision    recall  f1-score   support

           0       0.96      0.05      0.09  21822692
           1       0.28      1.00      0.43   8020644

    accuracy                           0.30  29843336
   macro avg       0.62      0.52      0.26  29843336
weighted avg       0.78      0.30      0.18  29843336

Accuracy: 0.30318336395100065
10-20%
              precision    recall  f1-score   support

           0       0.94      0.05      0.09  23880186
           1       0.37      1.00      0.54  13481800

    accuracy                           0.39  37361986
   macro avg       0.66      0.52      0.31  37361986
weighted avg       0.74      0.39      0.25  37361986

Accuracy: 0.3882933043227413

              precision    recall  f1-score   support

           0       0.48      0.01      0.02   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.60      0.50      0.43   7518650
weighted avg       0.66      0.73      0.62   7518650

Accuracy: 0.7261151935520339
20-40%


              precision    recall  f1-score   support

           0       0.35      0.01      0.03    744974
           1       0.85      1.00      0.91   4060539

    accuracy                           0.84   4805513
   macro avg       0.60      0.50      0.47   4805513
weighted avg       0.77      0.84      0.78   4805513

Accuracy: 0.8432288082458627
40-80%
              precision    recall  f1-score   support

           0       0.29      0.02      0.04    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.60      0.51      0.50   2719684
weighted avg       0.86      0.91      0.87   2719684

Accuracy: 0.9108234633141203

              precision    recall  f1-score   support

           0       0.92      0.04      0.08  24861069
           1       0.46      1.00      0.63  20026114

    accuracy                           0.47  44887183
   macro avg       0.69      0.52      0.36  44887183
weighted avg       0.71      0.47      0.33  44887183

Accuracy: 0.4686573447926104
80-90%
              precision    recall  f1-score   support

           0       0.26      0.03      0.05     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.60      0.51      0.51    315349
weighted avg       0.90      0.94      0.91    315349

Accuracy: 0.9382335127113135
90-100%
              precision    recall  f1-score   support

           0       0.25      0.03      0.05     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.94    253829
   macro avg       0.60      0.51      0.51    253829
weighted avg       0.91      0.94      0.92    253829

Accuracy: 0.943355566148864

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.97      0.01      0.02  22531902
           1       0.43      1.00      0.60  16938696

    accuracy                           0.43  39470598
   macro avg       0.70      0.50      0.31  39470598
weighted avg       0.74      0.43      0.27  39470598

Accuracy: 0.43401949471350804
0-1%
              precision    recall  f1-score   support

           0       1.00      0.08      0.15   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.08   1549999
   macro avg       0.50      0.04      0.07   1549999
weighted avg       1.00      0.08      0.15   1549999

Accuracy: 0.07853359905393488
1-10%
              precision    recall  f1-score   support

           0       0.98      0.00      0.01  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.10  12711176
   macro avg       0.54      0.50      0.10  12711176
weighted avg       0.89      0.10      0.03  12711176

Accuracy: 0.10443384624679888
10-20%
              precision    recall  f1-score   support

           0       0.82      0.00      0.00   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.30   8856813
weighted avg       0.65      0.43      0.26   8856813

Accuracy: 0.4313116919144618
20-40%
              precision    recall  f1-score   support

           0       0.72      0.00      0.00   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.51   8578813

Accuracy: 0.6512376479123627
40-80%
              precision    recall  f1-score   support

           0       0.74      0.00      0.01   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.77      0.50      0.45   6296625
weighted avg       0.78      0.79      0.70   6296625

Accuracy: 0.79471367597721
80-90%
              precision    recall  f1-score   support

           0       0.81      0.00      0.01    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.83      0.50      0.46    810732
weighted avg       0.85      0.85      0.79    810732

Accuracy: 0.8549459007415521
90-100%
              precision    recall  f1-score   support

           0       0.78      0.00      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.82      0.50      0.47    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8669437608786987

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684

              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22531902
           1       0.43      1.00      0.61  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.32  39470598
weighted avg       0.73      0.44      0.28  39470598

Accuracy: 0.44080791479267684
0-1%


              precision    recall  f1-score   support

           0       1.00      0.17      0.29   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.17   1549999
   macro avg       0.50      0.08      0.14   1549999
weighted avg       1.00      0.17      0.29   1549999

Accuracy: 0.16862785072764563
1-10%
              precision    recall  f1-score   support

           0       0.99      0.03      0.06  12989887
           1       0.09      1.00      0.17   1271288

    accuracy                           0.12  14261175
   macro avg       0.54      0.52      0.12  14261175
weighted avg       0.91      0.12      0.07  14261175

Accuracy: 0.11858826499219033

              precision    recall  f1-score   support

           0       0.98      0.01      0.03  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.11  12711176
   macro avg       0.54      0.51      0.11  12711176
weighted avg       0.90      0.11      0.04  12711176

Accuracy: 0.11248644499926679
10-20%


              precision    recall  f1-score   support

           0       0.81      0.01      0.01   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.31   8856813
weighted avg       0.65      0.43      0.27   8856813

Accuracy: 0.43288471823894215
20-40%
              precision    recall  f1-score   support

           0       0.97      0.02      0.04  21029926
           1       0.34      1.00      0.51  10666875

    accuracy                           0.35  31696801
   macro avg       0.65      0.51      0.28  31696801
weighted avg       0.76      0.35      0.20  31696801

Accuracy: 0.3507822130062904

              precision    recall  f1-score   support

           0       0.72      0.01      0.01   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.52   8578813

Accuracy: 0.652011764331499
40-80%
              precision    recall  f1-score   support

           0       0.96      0.02      0.04  22324987
           1       0.42      1.00      0.59  15668439

    accuracy                           0.42  37993426
   macro avg       0.69      0.51      0.32  37993426
weighted avg       0.74      0.42      0.27  37993426

Accuracy: 0.42446380065856654

              precision    recall  f1-score   support

           0       0.73      0.01      0.02   1295061
           1       0.80      1.00      0.89   5001564

    accuracy                           0.80   6296625
   macro avg       0.76      0.50      0.45   6296625
weighted avg       0.78      0.80      0.71   6296625

Accuracy: 0.7953721239552936
80-90%
              precision    recall  f1-score   support

           0       0.78      0.01      0.02    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.82      0.51      0.47    810732
weighted avg       0.85      0.86      0.79    810732

Accuracy: 0.8557155755539438
90-100%
              precision    recall  f1-score   support

           0       0.80      0.01      0.03     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.51      0.48    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8678380649420803

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime_w_0_5

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.80      0.37      0.51  28055468
           1       0.52      0.88      0.65  21729815

    accuracy                           0.59  49785283
   macro avg       0.66      0.63      0.58  49785283
weighted avg       0.68      0.59      0.57  49785283

Accuracy: 0.5931255427432239
0-1%
              precision    recall  f1-score   support

           0       0.83      0.38      0.52  27764588
           1       0.46      0.88      0.61  17098553

    accuracy                           0.57  44863141
   macro avg       0.65      0.63      0.56  44863141
weighted avg       0.69      0.57      0.55  44863141

Accuracy: 0.5662408479156642
1-10%
              precision    recall  f1-score   support

           0       0.08      0.14      0.10    287564
           1       0.94      0.88      0.91   4164787

    accuracy                           0.83   4452351
   macro avg       0.51      0.51      0.50   4452351
weighted avg       0.88      0.83      0.86   4452351

Accuracy: 0.8343477412270506
10-20%
              precision    recall  f1-score   support

           0       0.01      0.15      0.02      2455
           1       0.99      0.88      0.93    257616

    accuracy                           0.87    260071
   macro avg       0.50      0.51      0.48    260071
weighted avg       0.98      0.87      0.92    260071

Accuracy: 0.8720080285768117
20-40%
              precision    recall  f1-score   support

           0       0.01      0.18      0.01       659
           1       1.00      0.88      0.93    130568

    accuracy                           0.88    131227
   macro avg       0.50      0.53      0.47    131227
weighted avg       0.99      0.88      0.93    131227

Accuracy: 0.8770832222027479
40-80%
              precision    recall  f1-score   support

           0       0.00      0.18      0.01       169
           1       1.00      0.88      0.93     65234

    accuracy                           0.88     65403
   macro avg       0.50      0.53      0.47     65403
weighted avg       1.00      0.88      0.93     65403

Accuracy: 0.8770851489992814
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.00        15
           1       1.00      0.88      0.93      7371

    accuracy                           0.88      7386
   macro avg       0.50      0.51      0.47      7386
weighted avg       1.00      0.88      0.93      7386

Accuracy: 0.8773354995938262
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.01        18
           1       1.00      0.89      0.94      5686

    accuracy                           0.88      5704
   macro avg       0.50      0.58      0.48      5704
weighted avg       0.99      0.88      0.94      5704

Accuracy: 0.8846423562412342

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%


              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.88      0.10      0.17  26119367
           1       0.47      0.98      0.64  21615229

    accuracy                           0.50  47734596
   macro avg       0.68      0.54      0.41  47734596
weighted avg       0.70      0.50      0.39  47734596

Accuracy: 0.49883801258106386
0-1%
              precision    recall  f1-score   support

           0       1.00      0.17      0.29  12053010
           1       0.05      0.98      0.09    508421

    accuracy                           0.20  12561431
   macro avg       0.52      0.58      0.19  12561431
weighted avg       0.96      0.20      0.28  12561431

Accuracy: 0.20413693312489636
1-10%
              precision    recall  f1-score   support

           0       0.67      0.03      0.06  13368467
           1       0.52      0.98      0.68  14466820

    accuracy                           0.53  27835287
   macro avg       0.60      0.51      0.37  27835287
weighted avg       0.59      0.53      0.39  27835287

Accuracy: 0.5278179815426368
10-20%
              precision    recall  f1-score   support

           0       0.21      0.03      0.05    503365
           1       0.87      0.98      0.92   3387274

    accuracy                           0.86   3890639
   macro avg       0.54      0.51      0.49   3890639
weighted avg       0.79      0.86      0.81   3890639

Accuracy: 0.8606195537545375
20-40%
              precision    recall  f1-score   support

           0       0.13      0.03      0.05    147488
           1       0.93      0.98      0.96   1970425

    accuracy                           0.92   2117913
   macro avg       0.53      0.51      0.50   2117913
weighted avg       0.88      0.92      0.89   2117913

Accuracy: 0.9179050319819558
40-80%
              precision    recall  f1-score   support

           0       0.08      0.04      0.05     41616
           1       0.96      0.98      0.97   1064279

    accuracy                           0.95   1105895
   macro avg       0.52      0.51      0.51   1105895
weighted avg       0.93      0.95      0.94   1105895

Accuracy: 0.948125274099259
80-90%
              precision    recall  f1-score   support

           0       0.07      0.05      0.06      3093
           1       0.98      0.98      0.98    120943

    accuracy                           0.96    124036
   macro avg       0.52      0.52      0.52    124036
weighted avg       0.95      0.96      0.96    124036

Accuracy: 0.9597697442677933
90-100%
              precision    recall  f1-score   support

           0       0.07      0.05      0.05      2328
           1       0.98      0.98      0.98     97067

    accuracy                           0.96     99395
   macro avg       0.52      0.52      0.52     99395
weighted avg       0.96      0.96      0.96     99395

Accuracy: 0.9622013179737411

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.63      1.00      0.77  25421477
           1       0.00      0.00      0.00  14975241

    accuracy                           0.63  40396718
   macro avg       0.31      0.50      0.39  40396718
weighted avg       0.40      0.63      0.49  40396718

Accuracy: 0.6292956026774255

              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  25924842
           1       0.00      0.00      0.00  18362515

    accuracy                           0.59  44287357
   macro avg       0.29      0.50      0.37  44287357
weighted avg       0.34      0.59      0.43  44287357

Accuracy: 0.5853779443194138

              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  26072330
           1       0.00      0.00      0.00  20332940

    accuracy                           0.56  46405270
   macro avg       0.28      0.50      0.36  46405270
weighted avg       0.32      0.56      0.40  46405270

Accuracy: 0.561839851378949

              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26113946
           1       0.00      0.00      0.00  21397219

    accuracy                           0.55  47511165
   macro avg       0.27      0.50      0.35  47511165
weighted avg       0.30      0.55      0.39  47511165

Accuracy: 0.549638090330978

              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_decay_vtime_w_0_75

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.83      0.27      0.41  28055468
           1       0.50      0.93      0.65  21729815

    accuracy                           0.56  49785283
   macro avg       0.66      0.60      0.53  49785283
weighted avg       0.69      0.56      0.51  49785283

Accuracy: 0.5581005535310505
0-1%
              precision    recall  f1-score   support

           0       0.86      0.27      0.41  27764588
           1       0.44      0.93      0.60  17098553

    accuracy                           0.52  44863141
   macro avg       0.65      0.60      0.51  44863141
weighted avg       0.70      0.52      0.48  44863141

Accuracy: 0.5225326733141579
1-10%
              precision    recall  f1-score   support

           0       0.08      0.08      0.08    287564
           1       0.94      0.93      0.93   4164787

    accuracy                           0.88   4452351
   macro avg       0.51      0.51      0.51   4452351
weighted avg       0.88      0.88      0.88   4452351

Accuracy: 0.8777171880653615
10-20%
              precision    recall  f1-score   support

           0       0.01      0.09      0.02      2455
           1       0.99      0.93      0.96    257616

    accuracy                           0.92    260071
   macro avg       0.50      0.51      0.49    260071
weighted avg       0.98      0.92      0.95    260071

Accuracy: 0.9233863060471948
20-40%
              precision    recall  f1-score   support

           0       0.01      0.11      0.02       659
           1       1.00      0.93      0.96    130568

    accuracy                           0.93    131227
   macro avg       0.50      0.52      0.49    131227
weighted avg       0.99      0.93      0.96    131227

Accuracy: 0.9285131870727823
40-80%
              precision    recall  f1-score   support

           0       0.01      0.17      0.01       169
           1       1.00      0.93      0.96     65234

    accuracy                           0.93     65403
   macro avg       0.50      0.55      0.49     65403
weighted avg       1.00      0.93      0.96     65403

Accuracy: 0.9278626362705075
80-90%
              precision    recall  f1-score   support

           0       0.00      0.13      0.01        15
           1       1.00      0.93      0.96      7371

    accuracy                           0.93      7386
   macro avg       0.50      0.53      0.49      7386
weighted avg       1.00      0.93      0.96      7386

Accuracy: 0.9278364473327918
90-100%
              precision    recall  f1-score   support

           0       0.01      0.28      0.02        18
           1       1.00      0.93      0.96      5686

    accuracy                           0.93      5704
   macro avg       0.51      0.60      0.49      5704
weighted avg       0.99      0.93      0.96      5704

Accuracy: 0.929523141654979

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398

              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446

              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  28052152
           1       0.00      0.00      0.00  21263340

    accuracy                           0.57  49315492
   macro avg       0.28      0.50      0.36  49315492
weighted avg       0.32      0.57      0.41  49315492

Accuracy: 0.568830419455209
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.72  28054607
           1       0.00      0.00      0.00  21520956

    accuracy                           0.57  49575563
   macro avg       0.28      0.50      0.36  49575563
weighted avg       0.32      0.57      0.41  49575563

Accuracy: 0.5658958830180103

              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055266
           1       0.00      0.00      0.00  21651524

    accuracy                           0.56  49706790
   macro avg       0.28      0.50      0.36  49706790
weighted avg       0.32      0.56      0.41  49706790

Accuracy: 0.5644151634012174

              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055435
           1       0.00      0.00      0.00  21716758

    accuracy                           0.56  49772193
   macro avg       0.28      0.50      0.36  49772193
weighted avg       0.32      0.56      0.41  49772193

Accuracy: 0.5636768908293834

              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  28055468
           1       0.00      0.00      0.00  21729815

    accuracy                           0.56  49785283
   macro avg       0.28      0.50      0.36  49785283
weighted avg       0.32      0.56      0.41  49785283

Accuracy: 0.5635293466143398
0-1%
              precision    recall  f1-score   support

           0       0.62      1.00      0.76  27764588
           1       0.00      0.00      0.00  17098553

    accuracy                           0.62  44863141
   macro avg       0.31      0.50      0.38  44863141
weighted avg       0.38      0.62      0.47  44863141

Accuracy: 0.6188730298665446
1-10%
              precision    recall  f1-score   support

           0       0.06      1.00      0.12    287564
           1       0.00      0.00      0.00   4164787

    accuracy                           0.06   4452351
   macro avg       0.03      0.50      0.06   4452351
weighted avg       0.00      0.06      0.01   4452351

Accuracy: 0.06458700133929243
10-20%
              precision    recall  f1-score   support

           0       0.01      1.00      0.02      2455
           1       0.00      0.00      0.00    257616

    accuracy                           0.01    260071
   macro avg       0.00      0.50      0.01    260071
weighted avg       0.00      0.01      0.00    260071

Accuracy: 0.009439729919906487
20-40%
              precision    recall  f1-score   support

           0       0.01      1.00      0.01       659
           1       0.00      0.00      0.00    130568

    accuracy                           0.01    131227
   macro avg       0.00      0.50      0.00    131227
weighted avg       0.00      0.01      0.00    131227

Accuracy: 0.005021832397296288
40-80%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01       169
           1       0.00      0.00      0.00     65234

    accuracy                           0.00     65403
   macro avg       0.00      0.50      0.00     65403
weighted avg       0.00      0.00      0.00     65403

Accuracy: 0.002583979328165375
80-90%
              precision    recall  f1-score   support

           0       0.00      1.00      0.00        15
           1       0.00      0.00      0.00      7371

    accuracy                           0.00      7386
   macro avg       0.00      0.50      0.00      7386
weighted avg       0.00      0.00      0.00      7386

Accuracy: 0.0020308692120227455
90-100%
              precision    recall  f1-score   support

           0       0.00      1.00      0.01        18
           1       0.00      0.00      0.00      5686

    accuracy                           0.00      5704
   macro avg       0.00      0.50      0.00      5704
weighted avg       0.00      0.00      0.00      5704

Accuracy: 0.003155680224403927

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.91      0.05      0.09  26119367
           1       0.46      0.99      0.63  21615229

    accuracy                           0.48  47734596
   macro avg       0.68      0.52      0.36  47734596
weighted avg       0.71      0.48      0.34  47734596

Accuracy: 0.477081318547244
0-1%
              precision    recall  f1-score   support

           0       1.00      0.09      0.17  12053010
           1       0.04      0.99      0.08    508421

    accuracy                           0.13  12561431
   macro avg       0.52      0.54      0.13  12561431
weighted avg       0.96      0.13      0.16  12561431

Accuracy: 0.12700344411397077
1-10%
              precision    recall  f1-score   support

           0       0.68      0.01      0.03  13368467
           1       0.52      0.99      0.68  14466820

    accuracy                           0.52  27835287
   macro avg       0.60      0.50      0.36  27835287
weighted avg       0.60      0.52      0.37  27835287

Accuracy: 0.5234024711151711
10-20%
              precision    recall  f1-score   support

           0       0.24      0.01      0.02    503365
           1       0.87      0.99      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.56      0.50      0.48   3890639
weighted avg       0.79      0.87      0.81   3890639

Accuracy: 0.8669455068948828
20-40%
              precision    recall  f1-score   support

           0       0.17      0.02      0.03    147488
           1       0.93      0.99      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.55      0.51      0.50   2117913
weighted avg       0.88      0.93      0.90   2117913

Accuracy: 0.9257330211392064
40-80%
              precision    recall  f1-score   support

           0       0.13      0.02      0.04     41616
           1       0.96      0.99      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.54      0.51      0.51   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9571279371007193
80-90%
              precision    recall  f1-score   support

           0       0.13      0.04      0.06      3093
           1       0.98      0.99      0.98    120943

    accuracy                           0.97    124036
   macro avg       0.55      0.52      0.52    124036
weighted avg       0.95      0.97      0.96    124036

Accuracy: 0.9693637331097423
90-100%
              precision    recall  f1-score   support

           0       0.12      0.03      0.05      2328
           1       0.98      0.99      0.99     97067

    accuracy                           0.97     99395
   macro avg       0.55      0.51      0.52     99395
weighted avg       0.96      0.97      0.96     99395

Accuracy: 0.9715579254489662

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994

              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.63      1.00      0.77  25421477
           1       0.00      0.00      0.00  14975241

    accuracy                           0.63  40396718
   macro avg       0.31      0.50      0.39  40396718
weighted avg       0.40      0.63      0.49  40396718

Accuracy: 0.6292956026774255

              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  25924842
           1       0.00      0.00      0.00  18362515

    accuracy                           0.59  44287357
   macro avg       0.29      0.50      0.37  44287357
weighted avg       0.34      0.59      0.43  44287357

Accuracy: 0.5853779443194138

              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.56      1.00      0.72  26072330
           1       0.00      0.00      0.00  20332940

    accuracy                           0.56  46405270
   macro avg       0.28      0.50      0.36  46405270
weighted avg       0.32      0.56      0.40  46405270

Accuracy: 0.561839851378949

              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26113946
           1       0.00      0.00      0.00  21397219

    accuracy                           0.55  47511165
   macro avg       0.27      0.50      0.35  47511165
weighted avg       0.30      0.55      0.39  47511165

Accuracy: 0.549638090330978

              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  26119367
           1       0.00      0.00      0.00  21615229

    accuracy                           0.55  47734596
   macro avg       0.27      0.50      0.35  47734596
weighted avg       0.30      0.55      0.39  47734596

Accuracy: 0.5471789684781243
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.13      1.00      0.23    503365
           1       0.00      0.00      0.00   3387274

    accuracy                           0.13   3890639
   macro avg       0.06      0.50      0.11   3890639
weighted avg       0.02      0.13      0.03   3890639

Accuracy: 0.12937849026856513
20-40%
              precision    recall  f1-score   support

           0       0.07      1.00      0.13    147488
           1       0.00      0.00      0.00   1970425

    accuracy                           0.07   2117913
   macro avg       0.03      0.50      0.07   2117913
weighted avg       0.00      0.07      0.01   2117913

Accuracy: 0.0696383656930195
40-80%
              precision    recall  f1-score   support

           0       0.04      1.00      0.07     41616
           1       0.00      0.00      0.00   1064279

    accuracy                           0.04   1105895
   macro avg       0.02      0.50      0.04   1105895
weighted avg       0.00      0.04      0.00   1105895

Accuracy: 0.03763105900650604
80-90%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      3093
           1       0.00      0.00      0.00    120943

    accuracy                           0.02    124036
   macro avg       0.01      0.50      0.02    124036
weighted avg       0.00      0.02      0.00    124036

Accuracy: 0.024936308813570254
90-100%
              precision    recall  f1-score   support

           0       0.02      1.00      0.05      2328
           1       0.00      0.00      0.00     97067

    accuracy                           0.02     99395
   macro avg       0.01      0.50      0.02     99395
weighted avg       0.00      0.02      0.00     99395

Accuracy: 0.023421701292821572

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.94      0.03      0.05  24893266
           1       0.46      1.00      0.63  20563095

    accuracy                           0.47  45456361
   macro avg       0.70      0.51      0.34  45456361
weighted avg       0.72      0.47      0.31  45456361

Accuracy: 0.46604038541492576
0-1%
              precision    recall  f1-score   support

           0       1.00      0.10      0.18   4873589
           1       0.00      1.00      0.00      3872

    accuracy                           0.10   4877461
   macro avg       0.50      0.55      0.09   4877461
weighted avg       1.00      0.10      0.18   4877461

Accuracy: 0.09706382070507585
1-10%
              precision    recall  f1-score   support

           0       0.90      0.01      0.02  16949103
           1       0.32      1.00      0.49   8016772

    accuracy                           0.33  24965875
   macro avg       0.61      0.50      0.25  24965875
weighted avg       0.71      0.33      0.17  24965875

Accuracy: 0.32720980137888217
10-20%
              precision    recall  f1-score   support

           0       0.55      0.01      0.01   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.64      0.50      0.43   7518650
weighted avg       0.68      0.73      0.61   7518650

Accuracy: 0.726674868493679
20-40%
              precision    recall  f1-score   support

           0       0.45      0.01      0.02    744974
           1       0.85      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.65      0.50      0.47   4805513
weighted avg       0.79      0.84      0.78   4805513

Accuracy: 0.8446887980534025
40-80%
              precision    recall  f1-score   support

           0       0.43      0.02      0.03    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.67      0.51      0.49   2719684
weighted avg       0.87      0.91      0.87   2719684

Accuracy: 0.9127990604790851
80-90%
              precision    recall  f1-score   support

           0       0.43      0.02      0.04     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.69      0.51      0.51    315349
weighted avg       0.91      0.94      0.91    315349

Accuracy: 0.9406593964147658
90-100%
              precision    recall  f1-score   support

           0       0.41      0.02      0.05     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.68      0.51      0.51    253829
weighted avg       0.92      0.95      0.92    253829

Accuracy: 0.9457469398689669

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122

              precision    recall  f1-score   support

           0       0.73      1.00      0.84  21822692
           1       0.00      0.00      0.00   8020644

    accuracy                           0.73  29843336
   macro avg       0.37      0.50      0.42  29843336
weighted avg       0.53      0.73      0.62  29843336

Accuracy: 0.7312417083666518
10-20%
              precision    recall  f1-score   support

           0       0.64      1.00      0.78  23880186
           1       0.00      0.00      0.00  13481800

    accuracy                           0.64  37361986
   macro avg       0.32      0.50      0.39  37361986
weighted avg       0.41      0.64      0.50  37361986

Accuracy: 0.6391572974734266

              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.58      1.00      0.74  24625160
           1       0.00      0.00      0.00  17542339

    accuracy                           0.58  42167499
   macro avg       0.29      0.50      0.37  42167499
weighted avg       0.34      0.58      0.43  42167499

Accuracy: 0.5839843619845702

              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126

              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24861069
           1       0.00      0.00      0.00  20026114

    accuracy                           0.55  44887183
   macro avg       0.28      0.50      0.36  44887183
weighted avg       0.31      0.55      0.39  44887183

Accuracy: 0.553856743471739
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.55      1.00      0.71  24893266
           1       0.00      0.00      0.00  20563095

    accuracy                           0.55  45456361
   macro avg       0.27      0.50      0.35  45456361
weighted avg       0.30      0.55      0.39  45456361

Accuracy: 0.5476299785633962
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.16      1.00      0.27    744974
           1       0.00      0.00      0.00   4060539

    accuracy                           0.16   4805513
   macro avg       0.08      0.50      0.13   4805513
weighted avg       0.02      0.16      0.04   4805513

Accuracy: 0.15502486415082012
40-80%
              precision    recall  f1-score   support

           0       0.09      1.00      0.16    235909
           1       0.00      0.00      0.00   2483775

    accuracy                           0.09   2719684
   macro avg       0.04      0.50      0.08   2719684
weighted avg       0.01      0.09      0.01   2719684

Accuracy: 0.08674132730126
80-90%
              precision    recall  f1-score   support

           0       0.06      1.00      0.11     18577
           1       0.00      0.00      0.00    296772

    accuracy                           0.06    315349
   macro avg       0.03      0.50      0.06    315349
weighted avg       0.00      0.06      0.01    315349

Accuracy: 0.05890933537128705
90-100%
              precision    recall  f1-score   support

           0       0.05      1.00      0.10     13620
           1       0.00      0.00      0.00    240209

    accuracy                           0.05    253829
   macro avg       0.03      0.50      0.05    253829
weighted avg       0.00      0.05      0.01    253829

Accuracy: 0.05365817144613105

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.96      0.01      0.02  22531902
           1       0.43      1.00      0.60  16938696

    accuracy                           0.44  39470598
   macro avg       0.70      0.51      0.31  39470598
weighted avg       0.74      0.44      0.27  39470598

Accuracy: 0.43602329004490886
0-1%
              precision    recall  f1-score   support

           0       1.00      0.11      0.19   1549999
           1       0.00      0.00      0.00         0

    accuracy                           0.11   1549999
   macro avg       0.50      0.05      0.10   1549999
weighted avg       1.00      0.11      0.19   1549999

Accuracy: 0.1064949074160693
1-10%
              precision    recall  f1-score   support

           0       0.98      0.01      0.01  11439888
           1       0.10      1.00      0.18   1271288

    accuracy                           0.11  12711176
   macro avg       0.54      0.50      0.10  12711176
weighted avg       0.90      0.11      0.03  12711176

Accuracy: 0.10668100260746921
10-20%
              precision    recall  f1-score   support

           0       0.81      0.00      0.01   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.62      0.50      0.30   8856813
weighted avg       0.65      0.43      0.26   8856813

Accuracy: 0.43175327287592047
20-40%
              precision    recall  f1-score   support

           0       0.72      0.00      0.01   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.69      0.50      0.40   8578813
weighted avg       0.68      0.65      0.52   8578813

Accuracy: 0.6514527126305236
40-80%
              precision    recall  f1-score   support

           0       0.73      0.00      0.01   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.76      0.50      0.45   6296625
weighted avg       0.78      0.79      0.71   6296625

Accuracy: 0.7948883727393643
80-90%
              precision    recall  f1-score   support

           0       0.80      0.01      0.01    117971
           1       0.86      1.00      0.92    692761

    accuracy                           0.86    810732
   macro avg       0.83      0.50      0.47    810732
weighted avg       0.85      0.86      0.79    810732

Accuracy: 0.8551469536172249
90-100%
              precision    recall  f1-score   support

           0       0.79      0.01      0.01     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.83      0.50      0.47    666440
weighted avg       0.86      0.87      0.81    666440

Accuracy: 0.8671958465878399

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314

              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0

              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      1.00      0.95  12989887
           1       0.00      0.00      0.00   1271288

    accuracy                           0.91  14261175
   macro avg       0.46      0.50      0.48  14261175
weighted avg       0.83      0.91      0.87  14261175

Accuracy: 0.9108567141206808

              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.78      1.00      0.88  18034328
           1       0.00      0.00      0.00   5083660

    accuracy                           0.78  23117988
   macro avg       0.39      0.50      0.44  23117988
weighted avg       0.61      0.78      0.68  23117988

Accuracy: 0.7800993754300763

              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.66      1.00      0.80  21029926
           1       0.00      0.00      0.00  10666875

    accuracy                           0.66  31696801
   macro avg       0.33      0.50      0.40  31696801
weighted avg       0.44      0.66      0.53  31696801

Accuracy: 0.6634715597955768

              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.59      1.00      0.74  22324987
           1       0.00      0.00      0.00  15668439

    accuracy                           0.59  37993426
   macro avg       0.29      0.50      0.37  37993426
weighted avg       0.35      0.59      0.43  37993426

Accuracy: 0.5876013129218723

              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.57      1.00      0.73  22531902
           1       0.00      0.00      0.00  16938696

    accuracy                           0.57  39470598
   macro avg       0.29      0.50      0.36  39470598
weighted avg       0.33      0.57      0.41  39470598

Accuracy: 0.5708528155565314
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.21      1.00      0.34   1295061
           1       0.00      0.00      0.00   5001564

    accuracy                           0.21   6296625
   macro avg       0.10      0.50      0.17   6296625
weighted avg       0.04      0.21      0.07   6296625

Accuracy: 0.20567542135667918
80-90%
              precision    recall  f1-score   support

           0       0.15      1.00      0.25    117971
           1       0.00      0.00      0.00    692761

    accuracy                           0.15    810732
   macro avg       0.07      0.50      0.13    810732
weighted avg       0.02      0.15      0.04    810732

Accuracy: 0.14551171040491803
90-100%
              precision    recall  f1-score   support

           0       0.13      1.00      0.24     88944
           1       0.00      0.00      0.00    577496

    accuracy                           0.13    666440
   macro avg       0.07      0.50      0.12    666440
weighted avg       0.02      0.13      0.03    666440

Accuracy: 0.13346137686813517

LR_id

0.01

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.55      0.69  28055468
           1       0.62      0.95      0.75  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.75      0.72  49785283
weighted avg       0.80      0.73      0.72  49785283

Accuracy: 0.725482468383277
0-1%
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  27764588
           1       0.57      0.93      0.70  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.75      0.70  44863141
weighted avg       0.79      0.70      0.70  44863141

Accuracy: 0.7018476035817466
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088

              precision    recall  f1-score   support

           0       0.75      0.89      0.81  28055468
           1       0.81      0.62      0.70  21729815

    accuracy                           0.77  49785283
   macro avg       0.78      0.75      0.76  49785283
weighted avg       0.78      0.77      0.76  49785283

Accuracy: 0.7704485881902088
0-1%
              precision    recall  f1-score   support

           0       0.75      0.90      0.82  27764588
           1       0.75      0.52      0.61  17098553

    accuracy                           0.75  44863141
   macro avg       0.75      0.71      0.72  44863141
weighted avg       0.75      0.75      0.74  44863141

Accuracy: 0.7517471636682772
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%


              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.71      0.93      0.81  28055468
           1       0.85      0.52      0.64  21729815

    accuracy                           0.75  49785283
   macro avg       0.78      0.72      0.72  49785283
weighted avg       0.77      0.75      0.74  49785283

Accuracy: 0.748746733045587
0-1%
              precision    recall  f1-score   support

           0       0.71      0.94      0.81  27764588
           1       0.79      0.39      0.52  17098553

    accuracy                           0.73  44863141
   macro avg       0.75      0.66      0.67  44863141
weighted avg       0.74      0.73      0.70  44863141

Accuracy: 0.727664297958986
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.69      0.95      0.80  28055468
           1       0.87      0.44      0.58  21729815

    accuracy                           0.73  49785283
   macro avg       0.78      0.69      0.69  49785283
weighted avg       0.77      0.73      0.70  49785283

Accuracy: 0.7268623139091125
0-1%
              precision    recall  f1-score   support

           0       0.69      0.96      0.80  27764588
           1       0.82      0.29      0.42  17098553

    accuracy                           0.70  44863141
   macro avg       0.75      0.62      0.61  44863141
weighted avg       0.74      0.70      0.66  44863141

Accuracy: 0.7033788383207498
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.66      0.97      0.79  28055468
           1       0.90      0.37      0.52  21729815

    accuracy                           0.70  49785283
   macro avg       0.78      0.67      0.65  49785283
weighted avg       0.76      0.70      0.67  49785283

Accuracy: 0.7049265342129319
0-1%
              precision    recall  f1-score   support

           0       0.66      0.98      0.79  27764588
           1       0.84      0.20      0.32  17098553

    accuracy                           0.68  44863141
   macro avg       0.75      0.59      0.55  44863141
weighted avg       0.73      0.68      0.61  44863141

Accuracy: 0.6790363831190509
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.64      0.98      0.78  28055468
           1       0.92      0.29      0.45  21729815

    accuracy                           0.68  49785283
   macro avg       0.78      0.64      0.61  49785283
weighted avg       0.76      0.68      0.63  49785283

Accuracy: 0.6803179566138049
0-1%
              precision    recall  f1-score   support

           0       0.64      0.99      0.78  27764588
           1       0.86      0.10      0.18  17098553

    accuracy                           0.65  44863141
   macro avg       0.75      0.55      0.48  44863141
weighted avg       0.73      0.65      0.55  44863141

Accuracy: 0.6517278850359586
1-10%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    287564
           1       0.94      1.00      0.97   4164787

    accuracy                           0.94   4452351
   macro avg       0.47      0.50      0.48   4452351
weighted avg       0.87      0.94      0.90   4452351

Accuracy: 0.9354129986607076
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2455
           1       0.99      1.00      1.00    257616

    accuracy                           0.99    260071
   macro avg       0.50      0.50      0.50    260071
weighted avg       0.98      0.99      0.99    260071

Accuracy: 0.9905602700800935
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       659
           1       0.99      1.00      1.00    130568

    accuracy                           0.99    131227
   macro avg       0.50      0.50      0.50    131227
weighted avg       0.99      0.99      0.99    131227

Accuracy: 0.9949781676027037
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00       169
           1       1.00      1.00      1.00     65234

    accuracy                           1.00     65403
   macro avg       0.50      0.50      0.50     65403
weighted avg       0.99      1.00      1.00     65403

Accuracy: 0.9974160206718347
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        15
           1       1.00      1.00      1.00      7371

    accuracy                           1.00      7386
   macro avg       0.50      0.50      0.50      7386
weighted avg       1.00      1.00      1.00      7386

Accuracy: 0.9979691307879772
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00        18
           1       1.00      1.00      1.00      5686

    accuracy                           1.00      5704
   macro avg       0.50      0.50      0.50      5704
weighted avg       0.99      1.00      1.00      5704

Accuracy: 0.9968443197755961

0.1

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.93      0.56      0.70  26119367
           1       0.64      0.95      0.76  21615229

    accuracy                           0.73  47734596
   macro avg       0.78      0.75      0.73  47734596
weighted avg       0.80      0.73      0.73  47734596

Accuracy: 0.7342635517434776
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.80      0.19      0.31  13368467
           1       0.56      0.96      0.71  14466820

    accuracy                           0.59  27835287
   macro avg       0.68      0.57      0.51  27835287
weighted avg       0.67      0.59      0.51  27835287

Accuracy: 0.5876273522884818
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535

              precision    recall  f1-score   support

           0       0.74      0.88      0.80  26119367
           1       0.81      0.63      0.71  21615229

    accuracy                           0.76  47734596
   macro avg       0.78      0.75      0.75  47734596
weighted avg       0.77      0.76      0.76  47734596

Accuracy: 0.7644793935199535
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.59      0.82      0.68  13368467
           1       0.74      0.48      0.58  14466820

    accuracy                           0.64  27835287
   macro avg       0.66      0.65      0.63  27835287
weighted avg       0.67      0.64      0.63  27835287

Accuracy: 0.6394443499001825
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.70      0.92      0.79  26119367
           1       0.84      0.52      0.64  21615229

    accuracy                           0.74  47734596
   macro avg       0.77      0.72      0.72  47734596
weighted avg       0.77      0.74      0.73  47734596

Accuracy: 0.739951648485723
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.55      0.90      0.68  13368467
           1       0.77      0.32      0.45  14466820

    accuracy                           0.60  27835287
   macro avg       0.66      0.61      0.57  27835287
weighted avg       0.66      0.60      0.56  27835287

Accuracy: 0.597381841257825
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.95      0.78  26119367
           1       0.87      0.44      0.58  21615229

    accuracy                           0.72  47734596
   macro avg       0.77      0.69      0.68  47734596
weighted avg       0.76      0.72      0.69  47734596

Accuracy: 0.7155299690815441
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.52      0.95      0.67  13368467
           1       0.80      0.19      0.31  14466820

    accuracy                           0.56  27835287
   macro avg       0.66      0.57      0.49  27835287
weighted avg       0.66      0.56      0.48  27835287

Accuracy: 0.5555012240398312
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.65      0.96      0.77  26119367
           1       0.89      0.36      0.52  21615229

    accuracy                           0.69  47734596
   macro avg       0.77      0.66      0.64  47734596
weighted avg       0.76      0.69      0.66  47734596

Accuracy: 0.6910468667211512
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.50      0.98      0.66  13368467
           1       0.82      0.08      0.15  14466820

    accuracy                           0.51  27835287
   macro avg       0.66      0.53      0.40  27835287
weighted avg       0.66      0.51      0.39  27835287

Accuracy: 0.5135152728980305
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    503365
           1       0.87      1.00      0.93   3387274

    accuracy                           0.87   3890639
   macro avg       0.44      0.50      0.47   3890639
weighted avg       0.76      0.87      0.81   3890639

Accuracy: 0.8706215097314348
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.98      0.76  26119367
           1       0.91      0.28      0.43  21615229

    accuracy                           0.66  47734596
   macro avg       0.77      0.63      0.60  47734596
weighted avg       0.75      0.66      0.61  47734596

Accuracy: 0.6634516609295279
0-1%
              precision    recall  f1-score   support

           0       0.96      1.00      0.98  12053010
           1       0.00      0.00      0.00    508421

    accuracy                           0.96  12561431
   macro avg       0.48      0.50      0.49  12561431
weighted avg       0.92      0.96      0.94  12561431

Accuracy: 0.9595252324356994
1-10%
              precision    recall  f1-score   support

           0       0.48      1.00      0.65  13368467
           1       0.00      0.00      0.00  14466820

    accuracy                           0.48  27835287
   macro avg       0.24      0.50      0.32  27835287
weighted avg       0.23      0.48      0.31  27835287

Accuracy: 0.4802704926304514
10-20%
              precision    recall  f1-score   support

           0       0.16      0.19      0.17    503365
           1       0.88      0.86      0.87   3387274

    accuracy                           0.77   3890639
   macro avg       0.52      0.52      0.52   3890639
weighted avg       0.78      0.77      0.78   3890639

Accuracy: 0.7699007797947843
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    147488
           1       0.93      1.00      0.96   1970425

    accuracy                           0.93   2117913
   macro avg       0.47      0.50      0.48   2117913
weighted avg       0.87      0.93      0.90   2117913

Accuracy: 0.9303616343069805
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     41616
           1       0.96      1.00      0.98   1064279

    accuracy                           0.96   1105895
   macro avg       0.48      0.50      0.49   1105895
weighted avg       0.93      0.96      0.94   1105895

Accuracy: 0.9623689409934939
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      3093
           1       0.98      1.00      0.99    120943

    accuracy                           0.98    124036
   macro avg       0.49      0.50      0.49    124036
weighted avg       0.95      0.98      0.96    124036

Accuracy: 0.9750636911864298
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00      2328
           1       0.98      1.00      0.99     97067

    accuracy                           0.98     99395
   macro avg       0.49      0.50      0.49     99395
weighted avg       0.95      0.98      0.97     99395

Accuracy: 0.9765782987071784

0.2

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.56      0.70  24893266
           1       0.64      0.94      0.76  20563095

    accuracy                           0.74  45456361
   macro avg       0.78      0.75      0.73  45456361
weighted avg       0.79      0.74      0.73  45456361

Accuracy: 0.7350546164485098
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.89      0.54      0.67  16949103
           1       0.47      0.85      0.60   8016772

    accuracy                           0.64  24965875
   macro avg       0.68      0.70      0.64  24965875
weighted avg       0.75      0.64      0.65  24965875

Accuracy: 0.6407493428529943
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.36      0.50      0.42   7518650
weighted avg       0.53      0.73      0.61   7518650

Accuracy: 0.7263479481023855
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328

              precision    recall  f1-score   support

           0       0.74      0.87      0.80  24893266
           1       0.80      0.63      0.71  20563095

    accuracy                           0.76  45456361
   macro avg       0.77      0.75      0.75  45456361
weighted avg       0.77      0.76      0.76  45456361

Accuracy: 0.7605667334435328
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.69      0.98      0.81  16949103
           1       0.64      0.06      0.11   8016772

    accuracy                           0.69  24965875
   macro avg       0.66      0.52      0.46  24965875
weighted avg       0.67      0.69      0.58  24965875

Accuracy: 0.68720026836632
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2057494
           1       0.73      1.00      0.84   5461156

    accuracy                           0.73   7518650
   macro avg       0.36      0.50      0.42   7518650
weighted avg       0.53      0.73      0.61   7518650

Accuracy: 0.7263479481023855
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.70      0.91      0.79  24893266
           1       0.83      0.53      0.64  20563095

    accuracy                           0.74  45456361
   macro avg       0.76      0.72      0.72  45456361
weighted avg       0.76      0.74      0.72  45456361

Accuracy: 0.736144276925291
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.32      0.40      0.36   2057494
           1       0.75      0.68      0.72   5461156

    accuracy                           0.61   7518650
   macro avg       0.54      0.54      0.54   7518650
weighted avg       0.64      0.61      0.62   7518650

Accuracy: 0.606286101893292
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.67      0.94      0.78  24893266
           1       0.85      0.44      0.58  20563095

    accuracy                           0.71  45456361
   macro avg       0.76      0.69      0.68  45456361
weighted avg       0.75      0.71      0.69  45456361

Accuracy: 0.7109227463236664
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.30      0.73      0.42   2057494
           1       0.78      0.35      0.48   5461156

    accuracy                           0.45   7518650
   macro avg       0.54      0.54      0.45   7518650
weighted avg       0.65      0.45      0.47   7518650

Accuracy: 0.4538014138176401
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.64      0.96      0.77  24893266
           1       0.87      0.36      0.51  20563095

    accuracy                           0.68  45456361
   macro avg       0.76      0.66      0.64  45456361
weighted avg       0.75      0.68      0.65  45456361

Accuracy: 0.6849614732688347
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.28      0.97      0.43   2057494
           1       0.80      0.04      0.08   5461156

    accuracy                           0.30   7518650
   macro avg       0.54      0.51      0.26   7518650
weighted avg       0.65      0.30      0.18   7518650

Accuracy: 0.296844380307635
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    744974
           1       0.84      1.00      0.92   4060539

    accuracy                           0.84   4805513
   macro avg       0.42      0.50      0.46   4805513
weighted avg       0.71      0.84      0.77   4805513

Accuracy: 0.8449751358491799
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.97      0.76  24893266
           1       0.89      0.27      0.41  20563095

    accuracy                           0.65  45456361
   macro avg       0.75      0.62      0.58  45456361
weighted avg       0.74      0.65      0.60  45456361

Accuracy: 0.6549297467960534
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   4873589
           1       0.00      0.00      0.00      3872

    accuracy                           1.00   4877461
   macro avg       0.50      0.50      0.50   4877461
weighted avg       1.00      1.00      1.00   4877461

Accuracy: 0.9992061443443627
1-10%
              precision    recall  f1-score   support

           0       0.68      1.00      0.81  16949103
           1       0.00      0.00      0.00   8016772

    accuracy                           0.68  24965875
   macro avg       0.34      0.50      0.40  24965875
weighted avg       0.46      0.68      0.55  24965875

Accuracy: 0.678890805950122
10-20%
              precision    recall  f1-score   support

           0       0.27      1.00      0.43   2057494
           1       0.00      0.00      0.00   5461156

    accuracy                           0.27   7518650
   macro avg       0.14      0.50      0.21   7518650
weighted avg       0.07      0.27      0.12   7518650

Accuracy: 0.2736520518976146
20-40%
              precision    recall  f1-score   support

           0       0.18      0.46      0.26    744974
           1       0.86      0.62      0.72   4060539

    accuracy                           0.60   4805513
   macro avg       0.52      0.54      0.49   4805513
weighted avg       0.76      0.60      0.65   4805513

Accuracy: 0.597185149639591
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    235909
           1       0.91      1.00      0.95   2483775

    accuracy                           0.91   2719684
   macro avg       0.46      0.50      0.48   2719684
weighted avg       0.83      0.91      0.87   2719684

Accuracy: 0.91325867269874
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     18577
           1       0.94      1.00      0.97    296772

    accuracy                           0.94    315349
   macro avg       0.47      0.50      0.48    315349
weighted avg       0.89      0.94      0.91    315349

Accuracy: 0.9410906646287129
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     13620
           1       0.95      1.00      0.97    240209

    accuracy                           0.95    253829
   macro avg       0.47      0.50      0.49    253829
weighted avg       0.90      0.95      0.92    253829

Accuracy: 0.946341828553869

0.4

Treshold: 0.3

All
              precision    recall  f1-score   support

           0       0.92      0.56      0.70  22531902
           1       0.62      0.93      0.74  16938696

    accuracy                           0.72  39470598
   macro avg       0.77      0.75      0.72  39470598
weighted avg       0.79      0.72      0.72  39470598

Accuracy: 0.7219948631130443
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.91      0.98      0.94  11439888
           1       0.28      0.08      0.13   1271288

    accuracy                           0.89  12711176
   macro avg       0.59      0.53      0.53  12711176
weighted avg       0.84      0.89      0.86  12711176

Accuracy: 0.8874208019777242
10-20%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   5044441
           1       0.43      1.00      0.60   3812372

    accuracy                           0.43   8856813
   macro avg       0.22      0.50      0.30   8856813
weighted avg       0.19      0.43      0.26   8856813

Accuracy: 0.43044512738385693
20-40%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   2995598
           1       0.65      1.00      0.79   5583215

    accuracy                           0.65   8578813
   macro avg       0.33      0.50      0.39   8578813
weighted avg       0.42      0.65      0.51   8578813

Accuracy: 0.6508143958843724
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.5

All
              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244

              precision    recall  f1-score   support

           0       0.76      0.83      0.79  22531902
           1       0.74      0.65      0.69  16938696

    accuracy                           0.75  39470598
   macro avg       0.75      0.74      0.74  39470598
weighted avg       0.75      0.75      0.75  39470598

Accuracy: 0.7523183459242244
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%


              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%


              precision    recall  f1-score   support

           0       0.43      0.20      0.27   2995598
           1       0.67      0.86      0.75   5583215

    accuracy                           0.63   8578813
   macro avg       0.55      0.53      0.51   8578813
weighted avg       0.58      0.63      0.58   8578813

Accuracy: 0.6280945860458784
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.6

All
              precision    recall  f1-score   support

           0       0.72      0.88      0.79  22531902
           1       0.77      0.54      0.63  16938696

    accuracy                           0.73  39470598
   macro avg       0.74      0.71      0.71  39470598
weighted avg       0.74      0.73      0.72  39470598

Accuracy: 0.7331811136988601
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.39      0.58      0.47   2995598
           1       0.70      0.52      0.59   5583215

    accuracy                           0.54   8578813
   macro avg       0.55      0.55      0.53   8578813
weighted avg       0.59      0.54      0.55   8578813

Accuracy: 0.5400453419371655
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.7

All
              precision    recall  f1-score   support

           0       0.68      0.91      0.78  22531902
           1       0.79      0.44      0.56  16938696

    accuracy                           0.71  39470598
   macro avg       0.74      0.68      0.67  39470598
weighted avg       0.73      0.71      0.69  39470598

Accuracy: 0.709834165674409
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.37      0.85      0.51   2995598
           1       0.72      0.21      0.32   5583215

    accuracy                           0.43   8578813
   macro avg       0.54      0.53      0.42   8578813
weighted avg       0.60      0.43      0.39   8578813

Accuracy: 0.4326274509072526
40-80%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00   1295061
           1       0.79      1.00      0.89   5001564

    accuracy                           0.79   6296625
   macro avg       0.40      0.50      0.44   6296625
weighted avg       0.63      0.79      0.70   6296625

Accuracy: 0.7943245786433208
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.8

All
              precision    recall  f1-score   support

           0       0.65      0.94      0.77  22531902
           1       0.81      0.34      0.48  16938696

    accuracy                           0.68  39470598
   macro avg       0.73      0.64      0.63  39470598
weighted avg       0.72      0.68      0.65  39470598

Accuracy: 0.6829961887073512
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.25      0.14      0.18   1295061
           1       0.80      0.90      0.85   5001564

    accuracy                           0.74   6296625
   macro avg       0.53      0.52      0.51   6296625
weighted avg       0.69      0.74      0.71   6296625

Accuracy: 0.7397748793996785
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Treshold: 0.9

All
              precision    recall  f1-score   support

           0       0.62      0.97      0.76  22531902
           1       0.83      0.23      0.36  16938696

    accuracy                           0.65  39470598
   macro avg       0.73      0.60      0.56  39470598
weighted avg       0.71      0.65      0.59  39470598

Accuracy: 0.6488187739136864
0-1%
              precision    recall  f1-score   support

           0       1.00      1.00      1.00   1549999

    accuracy                           1.00   1549999
   macro avg       1.00      1.00      1.00   1549999
weighted avg       1.00      1.00      1.00   1549999

Accuracy: 1.0
1-10%
              precision    recall  f1-score   support

           0       0.90      1.00      0.95  11439888
           1       0.00      0.00      0.00   1271288

    accuracy                           0.90  12711176
   macro avg       0.45      0.50      0.47  12711176
weighted avg       0.81      0.90      0.85  12711176

Accuracy: 0.8999865944740282
10-20%
              precision    recall  f1-score   support

           0       0.57      1.00      0.73   5044441
           1       0.00      0.00      0.00   3812372

    accuracy                           0.57   8856813
   macro avg       0.28      0.50      0.36   8856813
weighted avg       0.32      0.57      0.41   8856813

Accuracy: 0.5695548726161431
20-40%
              precision    recall  f1-score   support

           0       0.35      1.00      0.52   2995598
           1       0.00      0.00      0.00   5583215

    accuracy                           0.35   8578813
   macro avg       0.17      0.50      0.26   8578813
weighted avg       0.12      0.35      0.18   8578813

Accuracy: 0.34918560411562766
40-80%
              precision    recall  f1-score   support

           0       0.23      0.57      0.33   1295061
           1       0.82      0.51      0.63   5001564

    accuracy                           0.53   6296625
   macro avg       0.53      0.54      0.48   6296625
weighted avg       0.70      0.53      0.57   6296625

Accuracy: 0.5255326464574276
80-90%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00    117971
           1       0.85      1.00      0.92    692761

    accuracy                           0.85    810732
   macro avg       0.43      0.50      0.46    810732
weighted avg       0.73      0.85      0.79    810732

Accuracy: 0.8544882895950819
90-100%
              precision    recall  f1-score   support

           0       0.00      0.00      0.00     88944
           1       0.87      1.00      0.93    577496

    accuracy                           0.87    666440
   macro avg       0.43      0.50      0.46    666440
weighted avg       0.75      0.87      0.80    666440

Accuracy: 0.8665386231318648

Individual Workload Result

zipf_1_15

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046758 0.403719../../result/log/zipf_1_15 0.01 1
Zipf Optimal Distribution 9519768 0.404397../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.9] 9413482 0.404407../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.9] 9412294 0.404407../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.9] 9413823 0.404408../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.9] 9121234 0.404414../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.8] 8857057 0.404623../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.8] 8855216 0.404628../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.8] 8853701 0.404632../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.8] 8730228 0.404643../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.8] 9773902 0.404839../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.8] 9740182 0.404872../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10079618 0.404872../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10075592 0.404874../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10077204 0.404874../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.8] 9723106 0.404903../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 10130629 0.404909../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 9665622 0.404927../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 10205064 0.404963../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.9] 10298833 0.405037../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.9] 10299939 0.405037../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.9] 10300318 0.40504 ../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 10308093 0.405046../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 9504407 0.405077../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.7] 8319018 0.40508 ../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 10368285 0.405101../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 10396184 0.405128../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10440936 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10440934 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
Offline Clock 1st iteration 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10440919 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10440959 0.405173../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10440865 0.405174../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10440857 0.405174../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10439791 0.405179../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731112 0.405191../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730451 0.405225../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737176 0.405235../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8584445 0.405299../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8589288 0.405313../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8591689 0.40532 ../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8331243 0.405572../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8331236 0.405583../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8330528 0.405586../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.7] 8064502 0.405647../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.7] 8053538 0.405681../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.7] 8046727 0.4057 ../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.6] 7804490 0.405898../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.5] 7071443 0.407551../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 7836788 0.40828 ../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 7775906 0.408412../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6918244 0.408467../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6916945 0.408473../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6915363 0.408478../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6871009 0.408576../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6868738 0.408583../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6868367 0.408585../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.6] 6818754 0.408866../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.6] 6798818 0.40897 ../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.6] 6788341 0.409028../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.7] 7446464 0.409234../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647217 0.40926 ../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6644960 0.409272../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6643390 0.409278../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.7] 7439896 0.409298../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.7] 7445242 0.409313../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 8034724 0.412051../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5728960 0.412332../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5728284 0.412336../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5727499 0.41234 ../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7858430 0.41261 ../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7758890 0.412933../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 6100603 0.413369../../result/log/zipf_1_15 0.01 1
LR_5_imba[cache_size=0.01,treshold=0.5] 6120968 0.413391../../result/log/zipf_1_15 0.01 1
LR_6_imba[cache_size=0.01,treshold=0.5] 6119074 0.413397../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5395897 0.413662../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5395433 0.413663../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5394390 0.41367 ../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 8242479 0.413734../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8242479 0.413734../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.5] 5352939 0.414505../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.5] 5350429 0.414545../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.5] 5352334 0.414548../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.6] 5624188 0.415091../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.6] 5603042 0.415147../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.6] 5577121 0.415205../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4778830 0.41633 ../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6734228 0.416334../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4777917 0.416335../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4777960 0.416335../../result/log/zipf_1_15 0.01 1
LR_1_log[cache_size=0.01,treshold=0.5] 5325422 0.416697../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6613680 0.416755../../result/log/zipf_1_15 0.01 1
LR_4_log[cache_size=0.01,treshold=0.5] 5202087 0.416926../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6555803 0.416964../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4544576 0.417459../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542983 0.417466../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4543024 0.417467../../result/log/zipf_1_15 0.01 1
LR_4[cache_size=0.01,treshold=0.5] 4811182 0.417996../../result/log/zipf_1_15 0.01 1
LR_6[cache_size=0.01,treshold=0.5] 4811231 0.417996../../result/log/zipf_1_15 0.01 1
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 4811054 0.417997../../result/log/zipf_1_15 0.01 1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 4810560 0.417999../../result/log/zipf_1_15 0.01 1
LR_5[cache_size=0.01,treshold=0.5] 4810293 0.418 ../../result/log/zipf_1_15 0.01 1
LR_1[cache_size=0.01,treshold=0.5] 4791719 0.418591../../result/log/zipf_1_15 0.01 1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 4791016 0.418594../../result/log/zipf_1_15 0.01 1
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 4790646 0.418596../../result/log/zipf_1_15 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 4654145 0.418916../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4088213 0.419739../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4086760 0.419747../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4086178 0.41975 ../../result/log/zipf_1_15 0.01 1
LR_3[cache_size=0.01,treshold=0.5] 5677820 0.420166../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.5] 4377254 0.420167../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.5] 4370271 0.420208../../result/log/zipf_1_15 0.01 1
LR_2[cache_size=0.01,treshold=0.5] 5657675 0.420251../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.5] 4350655 0.420286../../result/log/zipf_1_15 0.01 1
LR_4_mean[cache_size=0.01,treshold=0.5] 4796501 0.42093 ../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5951926 0.421107../../result/log/zipf_1_15 0.01 1
LR_1_mean[cache_size=0.01,treshold=0.5] 4865781 0.421486../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4856851 0.42233 ../../result/log/zipf_1_15 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 3707754 0.423329../../result/log/zipf_1_15 0.01 1
LR_id[cache_size=0.01,treshold=0.3] 3385805 0.423491../../result/log/zipf_1_15 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3360769 0.423796../../result/log/zipf_1_15 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3359639 0.423802../../result/log/zipf_1_15 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3359046 0.423806../../result/log/zipf_1_15 0.01 1
LR_3_log[cache_size=0.01,treshold=0.5] 4445328 0.424864../../result/log/zipf_1_15 0.01 1
LR_3_mean[cache_size=0.01,treshold=0.5] 4467015 0.424966../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4429453 0.425143../../result/log/zipf_1_15 0.01 1
LR_2_log[cache_size=0.01,treshold=0.5] 4381001 0.425152../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4409655 0.425233../../result/log/zipf_1_15 0.01 1
LR_2_mean[cache_size=0.01,treshold=0.5] 4397774 0.425253../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4359209 0.425438../../result/log/zipf_1_15 0.01 1
LR_7_id[cache_size=0.01,treshold=0.3] 3082530 0.426154../../result/log/zipf_1_15 0.01 1
LR_8_id[cache_size=0.01,treshold=0.3] 3078793 0.426187../../result/log/zipf_1_15 0.01 1
LR_9_id[cache_size=0.01,treshold=0.3] 3071023 0.426243../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3769272 0.42713 ../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3795018 0.42791 ../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794070 0.42792 ../../result/log/zipf_1_15 0.01 1
LR_7[cache_size=0.01,treshold=0.3] 2828327 0.428148../../result/log/zipf_1_15 0.01 1
LR_8[cache_size=0.01,treshold=0.3] 2830034 0.428148../../result/log/zipf_1_15 0.01 1
LR_9[cache_size=0.01,treshold=0.3] 2833313 0.428156../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3705737 0.428311../../result/log/zipf_1_15 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 2930021 0.429206../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2697165 0.433151../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2681969 0.433199../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2565555 0.43379 ../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 2484169 0.434066../../result/log/zipf_1_15 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758243 0.435337../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2199323 0.435544../../result/log/zipf_1_15 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 1699015 0.438259../../result/log/zipf_1_15 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1538851 0.439285../../result/log/zipf_1_15 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1455705 0.439779../../result/log/zipf_1_15 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1395979 0.440154../../result/log/zipf_1_15 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1175850 0.441271../../result/log/zipf_1_15 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5855919 0.209857../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.8] 8631677 0.211795../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.7] 8195625 0.211858../../result/log/zipf_1_15 0.1 1
Zipf Optimal Distribution 8927244 0.211885../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.8] 8757490 0.211933../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.8] 8757245 0.211933../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.8] 8757171 0.211934../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.9] 9042298 0.211945../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.9] 9345530 0.21223 ../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.9] 9345148 0.21223 ../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.9] 9345525 0.212231../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.6] 7653269 0.212255../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.7] 7859197 0.212455../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.7] 7856735 0.212458../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.7] 7856324 0.212461../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.5] 6880980 0.213394../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.8] 9749804 0.213586../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.8] 9741455 0.213588../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.8] 9737587 0.213589../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 9372212 0.213672../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 9125045 0.213803../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 10266558 0.213809../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10273542 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10273543 0.213817../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.9] 10273491 0.213817../../result/log/zipf_1_15 0.1 1
Offline Clock 1st iteration 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 10273475 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.9] 10273491 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10273433 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.9] 10273489 0.213817../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10273540 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10273523 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10273545 0.213817../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10272578 0.213818../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 10273392 0.213818../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 10273447 0.213818../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 10273472 0.213818../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10273094 0.213818../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10272602 0.213819../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10272540 0.213819../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10272673 0.213819../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10270931 0.213823../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10270618 0.213823../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10270596 0.213823../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10270543 0.213824../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10269569 0.213824../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10253401 0.213858../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10239417 0.213887../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10180987 0.213996../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10143683 0.214071../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.6] 6487361 0.215298../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.6] 6483608 0.215311../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.6] 6483441 0.215316../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 7247795 0.216211../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 7199618 0.21628 ../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.7] 7148453 0.216419../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.7] 7146708 0.216428../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.7] 7147423 0.216431../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7365978 0.216706../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7382195 0.216717../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7376944 0.216717../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7344265 0.216761../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7342936 0.216761../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7345719 0.216767../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7216965 0.216996../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7215536 0.216998../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7216309 0.217004../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 8225475 0.218649../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 8207953 0.218682../../result/log/zipf_1_15 0.1 1
LR_6_imba[cache_size=0.1,treshold=0.5] 6323630 0.21921 ../../result/log/zipf_1_15 0.1 1
LR_5_imba[cache_size=0.1,treshold=0.5] 6324306 0.219212../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7890608 0.219222../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.5] 5075678 0.219898../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.5] 5075023 0.219908../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.5] 5073914 0.219909../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 5591729 0.220011../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.6] 5362457 0.220694../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.6] 5358127 0.220695../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.6] 5360087 0.220696../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4942236 0.221451../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4936645 0.221467../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4925755 0.221508../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6739749 0.221977../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6733932 0.221993../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6729461 0.222005../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4737250 0.22218 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4734029 0.22219 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4733150 0.222191../../result/log/zipf_1_15 0.1 1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 4938384 0.222405../../result/log/zipf_1_15 0.1 1
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 4937631 0.222405../../result/log/zipf_1_15 0.1 1
LR_4[cache_size=0.1,treshold=0.5] 4937979 0.222406../../result/log/zipf_1_15 0.1 1
LR_6[cache_size=0.1,treshold=0.5] 4937595 0.222407../../result/log/zipf_1_15 0.1 1
LR_5[cache_size=0.1,treshold=0.5] 4936215 0.222414../../result/log/zipf_1_15 0.1 1
LR_1_log[cache_size=0.1,treshold=0.5] 5080545 0.222431../../result/log/zipf_1_15 0.1 1
LR_4_log[cache_size=0.1,treshold=0.5] 4985330 0.222485../../result/log/zipf_1_15 0.1 1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 5066595 0.222718../../result/log/zipf_1_15 0.1 1
LR_1[cache_size=0.1,treshold=0.5] 5066202 0.22272 ../../result/log/zipf_1_15 0.1 1
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 5066547 0.222722../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6313074 0.223174../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6304059 0.2232 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6293267 0.223231../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 5703595 0.223686../../result/log/zipf_1_15 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 4295932 0.224237../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5377652 0.224473../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.5] 4191256 0.224658../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.5] 4189445 0.224661../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.5] 4186743 0.224667../../result/log/zipf_1_15 0.1 1
LR_3[cache_size=0.1,treshold=0.5] 5628725 0.225365../../result/log/zipf_1_15 0.1 1
LR_2[cache_size=0.1,treshold=0.5] 5628914 0.225365../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3779296 0.225865../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3778802 0.225866../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3777924 0.225868../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3704922 0.226196../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3703970 0.226198../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3704170 0.226199../../result/log/zipf_1_15 0.1 1
LR_id[cache_size=0.1,treshold=0.3] 3209660 0.227098../../result/log/zipf_1_15 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 3444625 0.227751../../result/log/zipf_1_15 0.1 1
LR_4_mean[cache_size=0.1,treshold=0.5] 4360658 0.227997../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3985804 0.228174../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3878974 0.228482../../result/log/zipf_1_15 0.1 1
LR_1_mean[cache_size=0.1,treshold=0.5] 4495485 0.228914../../result/log/zipf_1_15 0.1 1
LR_3_mean[cache_size=0.1,treshold=0.5] 4457314 0.229059../../result/log/zipf_1_15 0.1 1
LR_3_log[cache_size=0.1,treshold=0.5] 4447734 0.229068../../result/log/zipf_1_15 0.1 1
LR_2_mean[cache_size=0.1,treshold=0.5] 4452194 0.229078../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3075274 0.229086../../result/log/zipf_1_15 0.1 1
LR_2_log[cache_size=0.1,treshold=0.5] 4442448 0.229087../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3071371 0.229101../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3070562 0.229106../../result/log/zipf_1_15 0.1 1
LR_8_id[cache_size=0.1,treshold=0.3] 2975833 0.229428../../result/log/zipf_1_15 0.1 1
LR_7_id[cache_size=0.1,treshold=0.3] 2973993 0.229438../../result/log/zipf_1_15 0.1 1
LR_9_id[cache_size=0.1,treshold=0.3] 2973256 0.22944 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4259062 0.229769../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4243978 0.229824../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4233153 0.229866../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4110260 0.23031 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4090224 0.23038 ../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4083679 0.230404../../result/log/zipf_1_15 0.1 1
LR_8[cache_size=0.1,treshold=0.3] 2724482 0.231276../../result/log/zipf_1_15 0.1 1
LR_7[cache_size=0.1,treshold=0.3] 2724487 0.231277../../result/log/zipf_1_15 0.1 1
LR_9[cache_size=0.1,treshold=0.3] 2723140 0.231285../../result/log/zipf_1_15 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 2825704 0.231689../../result/log/zipf_1_15 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2487684 0.232159../../result/log/zipf_1_15 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2487458 0.232161../../result/log/zipf_1_15 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2486200 0.232167../../result/log/zipf_1_15 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224245 0.234625../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2788932 0.235597../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2782934 0.235623../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2776562 0.23565 ../../result/log/zipf_1_15 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1684624 0.24083 ../../result/log/zipf_1_15 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1659779 0.240959../../result/log/zipf_1_15 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647700 0.241021../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 525074 0.247531../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420889 0.248217../../result/log/zipf_1_15 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 261075 0.249315../../result/log/zipf_1_15 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193561 0.2498 ../../result/log/zipf_1_15 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5679810 0.147307../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.7] 7967188 0.150007../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.6] 7395772 0.150162../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.8] 8437023 0.150164../../result/log/zipf_1_15 0.2 1
Zipf Optimal Distribution 8496578 0.150203../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.8] 8534848 0.150397../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.8] 8536152 0.150397../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.8] 8536039 0.150397../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.9] 8875208 0.150561../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.7] 7572079 0.150633../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.7] 7570669 0.150635../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.7] 7570793 0.150636../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.5] 6596321 0.150995../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.9] 9175377 0.151004../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.9] 9176559 0.151006../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.9] 9176347 0.151006../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 8954715 0.152718../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 9196565 0.152728../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10000375 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
Offline Clock 1st iteration 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10000401 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10000203 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10000330 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000414 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10000400 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10000312 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10000395 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000097 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10000415 0.15275 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 9999712 0.152751../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10000053 0.152751../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 9999162 0.152753../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.8] 9531967 0.152768../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.8] 9531595 0.152769../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.8] 9517061 0.15277 ../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.6] 6184642 0.153042../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.6] 6184328 0.153043../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.6] 6183487 0.153048../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9732834 0.153175../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9713966 0.153207../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9680521 0.153255../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9604876 0.15338 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9586284 0.153416../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9568910 0.153447../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9556774 0.15347 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9544770 0.153491../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9537934 0.153501../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 7120262 0.15423 ../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 7079830 0.154238../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.7] 7016918 0.154434../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.7] 7014777 0.154437../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.7] 7009169 0.154446../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 7232291 0.155173../../result/log/zipf_1_15 0.2 1
LR_6_imba[cache_size=0.2,treshold=0.5] 6438001 0.156483../../result/log/zipf_1_15 0.2 1
LR_5_imba[cache_size=0.2,treshold=0.5] 6441006 0.156487../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.5] 4850405 0.156813../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.5] 4849655 0.156814../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.5] 4849342 0.156818../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 5473148 0.157091../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.6] 5229392 0.157674../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.6] 5226757 0.157678../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.6] 5227411 0.157682../../result/log/zipf_1_15 0.2 1
LR_4[cache_size=0.2,treshold=0.5] 5043656 0.159145../../result/log/zipf_1_15 0.2 1
LR_6[cache_size=0.2,treshold=0.5] 5043635 0.159146../../result/log/zipf_1_15 0.2 1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 5043654 0.159146../../result/log/zipf_1_15 0.2 1
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 5045021 0.159147../../result/log/zipf_1_15 0.2 1
LR_5[cache_size=0.2,treshold=0.5] 5044732 0.159152../../result/log/zipf_1_15 0.2 1
LR_1[cache_size=0.2,treshold=0.5] 5110338 0.159392../../result/log/zipf_1_15 0.2 1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 5109552 0.159393../../result/log/zipf_1_15 0.2 1
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 5111596 0.159396../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5213851 0.15956 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6418211 0.159616../../result/log/zipf_1_15 0.2 1
LR_4_log[cache_size=0.2,treshold=0.5] 4767107 0.159618../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6415977 0.159622../../result/log/zipf_1_15 0.2 1
LR_1_log[cache_size=0.2,treshold=0.5] 4838687 0.159623../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6413286 0.159628../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6040582 0.160527../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6035426 0.16054 ../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6031811 0.160549../../result/log/zipf_1_15 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 4182183 0.160571../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.5] 4065657 0.160931../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.5] 4064883 0.160932../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.5] 4062785 0.160937../../result/log/zipf_1_15 0.2 1
LR_2[cache_size=0.2,treshold=0.5] 5497626 0.162108../../result/log/zipf_1_15 0.2 1
LR_3[cache_size=0.2,treshold=0.5] 5497111 0.162109../../result/log/zipf_1_15 0.2 1
LR_id[cache_size=0.2,treshold=0.3] 3104295 0.162513../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5012866 0.16254 ../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4633419 0.163288../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4628345 0.163297../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4696286 0.163388../../result/log/zipf_1_15 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 3329675 0.163587../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4356984 0.164048../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4353128 0.164057../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4347879 0.164066../../result/log/zipf_1_15 0.2 1
LR_4_mean[cache_size=0.2,treshold=0.5] 4279729 0.16413 ../../result/log/zipf_1_15 0.2 1
LR_7_id[cache_size=0.2,treshold=0.3] 2892676 0.16477 ../../result/log/zipf_1_15 0.2 1
LR_8_id[cache_size=0.2,treshold=0.3] 2892085 0.164774../../result/log/zipf_1_15 0.2 1
LR_9_id[cache_size=0.2,treshold=0.3] 2891059 0.164779../../result/log/zipf_1_15 0.2 1
LR_3_log[cache_size=0.2,treshold=0.5] 4395128 0.165028../../result/log/zipf_1_15 0.2 1
LR_2_log[cache_size=0.2,treshold=0.5] 4393047 0.165035../../result/log/zipf_1_15 0.2 1
LR_1_mean[cache_size=0.2,treshold=0.5] 4387148 0.165062../../result/log/zipf_1_15 0.2 1
LR_3_mean[cache_size=0.2,treshold=0.5] 4385080 0.165068../../result/log/zipf_1_15 0.2 1
LR_2_mean[cache_size=0.2,treshold=0.5] 4382835 0.165075../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4167613 0.165734../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4164970 0.165743../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4163739 0.165746../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021354 0.166205../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4020575 0.166207../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4019865 0.166209../../result/log/zipf_1_15 0.2 1
LR_8[cache_size=0.2,treshold=0.3] 2617987 0.166683../../result/log/zipf_1_15 0.2 1
LR_7[cache_size=0.2,treshold=0.3] 2615867 0.166692../../result/log/zipf_1_15 0.2 1
LR_9[cache_size=0.2,treshold=0.3] 2614961 0.166696../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3549844 0.166744../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3423056 0.166911../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3419036 0.166917../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3419091 0.166919../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3445463 0.16707 ../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2831971 0.167105../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3314446 0.167228../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3311970 0.167232../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3309778 0.167235../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2687928 0.169312../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2686843 0.169313../../result/log/zipf_1_15 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2738921 0.169441../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2839844 0.170378../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2827154 0.170429../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2822523 0.170447../../result/log/zipf_1_15 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1883662 0.171925../../result/log/zipf_1_15 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1875241 0.171937../../result/log/zipf_1_15 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1864327 0.171946../../result/log/zipf_1_15 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022522 0.172074../../result/log/zipf_1_15 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1747002 0.175033../../result/log/zipf_1_15 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742919 0.175052../../result/log/zipf_1_15 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1740023 0.175066../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 217023 0.183617../../result/log/zipf_1_15 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 128051 0.18425 ../../result/log/zipf_1_15 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101791 0.184441../../result/log/zipf_1_15 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5220469 0.0827401../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.6] 6619786 0.0862818../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.7] 7272084 0.0864272../../result/log/zipf_1_15 0.4 1
Zipf Optimal Distribution 7658498 0.0867334../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.5] 5756268 0.0867684../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.8] 7835026 0.086914 ../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.7] 6773404 0.0871505../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.7] 6772952 0.0871524../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.7] 6771216 0.0871543../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.8] 7905138 0.0872892../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.8] 7904387 0.0872892../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.8] 7905007 0.0872894../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.9] 8357346 0.0877119../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.9] 8679981 0.0884217../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.9] 8680009 0.0884217../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.9] 8680063 0.0884221../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.6] 5412543 0.0888289../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.6] 5412170 0.0888312../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.6] 5410034 0.0888382../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
Offline Clock 1st iteration 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9234422 0.0897434../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 9234302 0.0897435../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 8678767 0.0898427../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9132960 0.0898524../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 8537633 0.0898543../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9127353 0.089857 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9125886 0.0898588../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9122289 0.0898623../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.8] 8605042 0.0898638../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.8] 8604425 0.0898642../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.8] 8604072 0.0898644../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9119738 0.0898644../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9116772 0.0898674../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8875272 0.0901127../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8875082 0.090113 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8873274 0.0901154../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8871109 0.0901184../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8871109 0.0901184../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8869507 0.0901196../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 7072413 0.090343 ../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 7039117 0.0903447../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8399329 0.0906425../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8395556 0.090647 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8394244 0.090648 ../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.7] 6564964 0.0906803../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.7] 6564442 0.0906805../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.7] 6564585 0.0906806../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8348337 0.0907016../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8343410 0.0907082../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8341028 0.0907109../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.5] 4271740 0.0913211../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.5] 4271790 0.0913224../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.5] 4270146 0.0913289../../result/log/zipf_1_15 0.4 1
LR_6_imba[cache_size=0.4,treshold=0.5] 6409182 0.0914187../../result/log/zipf_1_15 0.4 1
LR_5_imba[cache_size=0.4,treshold=0.5] 6426414 0.0914257../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 5455433 0.0916328../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.6] 4885936 0.0923636../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.6] 4886072 0.0923637../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.6] 4886450 0.0923637../../result/log/zipf_1_15 0.4 1
LR_6[cache_size=0.4,treshold=0.5] 4832139 0.0935194../../result/log/zipf_1_15 0.4 1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 4832055 0.0935211../../result/log/zipf_1_15 0.4 1
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 4835078 0.0935314../../result/log/zipf_1_15 0.4 1
LR_5[cache_size=0.4,treshold=0.5] 4833539 0.0935332../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6212278 0.0935659../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6210618 0.0935684../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6210561 0.0935685../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6209984 0.0935694../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6209434 0.0935707../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6209395 0.0935708../../result/log/zipf_1_15 0.4 1
LR_1[cache_size=0.4,treshold=0.5] 4835579 0.093577 ../../result/log/zipf_1_15 0.4 1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 4835583 0.0935778../../result/log/zipf_1_15 0.4 1
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 4836914 0.0935928../../result/log/zipf_1_15 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 4089960 0.0937022../../result/log/zipf_1_15 0.4 1
LR_4[cache_size=0.4,treshold=0.5] 4707969 0.093772 ../../result/log/zipf_1_15 0.4 1
LR_4_log[cache_size=0.4,treshold=0.5] 4268991 0.0940956../../result/log/zipf_1_15 0.4 1
LR_1_log[cache_size=0.4,treshold=0.5] 4288290 0.0941153../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.5] 3740510 0.0943411../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.5] 3740168 0.0943415../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.5] 3740868 0.094342 ../../result/log/zipf_1_15 0.4 1
LR_id[cache_size=0.4,treshold=0.3] 2797066 0.0945796../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5443960 0.0949 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5443291 0.0949008../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5441395 0.0949039../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5428568 0.0949253../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5428111 0.0949261../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5427760 0.0949267../../result/log/zipf_1_15 0.4 1
LR_3[cache_size=0.4,treshold=0.5] 5042193 0.0956799../../result/log/zipf_1_15 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 3201855 0.0956834../../result/log/zipf_1_15 0.4 1
LR_8_id[cache_size=0.4,treshold=0.3] 2650601 0.0965522../../result/log/zipf_1_15 0.4 1
LR_9_id[cache_size=0.4,treshold=0.3] 2650130 0.0965533../../result/log/zipf_1_15 0.4 1
LR_7_id[cache_size=0.4,treshold=0.3] 2650026 0.0965552../../result/log/zipf_1_15 0.4 1
LR_2[cache_size=0.4,treshold=0.5] 4368005 0.0970026../../result/log/zipf_1_15 0.4 1
LR_4_mean[cache_size=0.4,treshold=0.5] 3953339 0.0970384../../result/log/zipf_1_15 0.4 1
LR_2_log[cache_size=0.4,treshold=0.5] 4102908 0.097348 ../../result/log/zipf_1_15 0.4 1
LR_3_log[cache_size=0.4,treshold=0.5] 4102656 0.0973483../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4208194 0.0973667../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4208092 0.0973671../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4208092 0.0973671../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4207980 0.0973673../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4207477 0.0973686../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4207168 0.0973695../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4022189 0.0976843../../result/log/zipf_1_15 0.4 1
LR_3_mean[cache_size=0.4,treshold=0.5] 4049658 0.0977533../../result/log/zipf_1_15 0.4 1
LR_2_mean[cache_size=0.4,treshold=0.5] 4048971 0.097755 ../../result/log/zipf_1_15 0.4 1
LR_1_mean[cache_size=0.4,treshold=0.5] 4048716 0.0977575../../result/log/zipf_1_15 0.4 1
LR_8[cache_size=0.4,treshold=0.3] 2380282 0.0982626../../result/log/zipf_1_15 0.4 1
LR_7[cache_size=0.4,treshold=0.3] 2379947 0.0982632../../result/log/zipf_1_15 0.4 1
LR_9[cache_size=0.4,treshold=0.3] 2379664 0.0982641../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3762497 0.0984022../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3761198 0.0984033../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3760799 0.0984036../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3727070 0.0984849../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3726531 0.0984863../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3725966 0.0984879../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3001759 0.100436 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3001145 0.100437 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3000561 0.100439 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998015 0.100447 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2997658 0.100448 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2997556 0.100449 ../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 2345657 0.102234 ../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2082106 0.103085 ../../result/log/zipf_1_15 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 1750243 0.104286 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1809011 0.104392 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1808268 0.104395 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1807381 0.104398 ../../result/log/zipf_1_15 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1791179 0.104443 ../../result/log/zipf_1_15 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1790454 0.104446 ../../result/log/zipf_1_15 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1789547 0.10445 ../../result/log/zipf_1_15 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1267709 0.106156 ../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87314 0.113052 ../../result/log/zipf_1_15 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 51152 0.113313 ../../result/log/zipf_1_15 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36115 0.113426 ../../result/log/zipf_1_15 0.4 1

zipf_1_16

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6044928 0.403882../../result/log/zipf_1_16 0.01 1
Zipf Optimal Distribution 9516893 0.40457 ../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.9] 9408493 0.404585../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.9] 9410001 0.404586../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.9] 9409444 0.404586../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.9] 9117214 0.404606../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.8] 8854730 0.404814../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.8] 8852496 0.404817../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.8] 8850819 0.40482 ../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.8] 8727353 0.404837../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.8] 9769605 0.405016../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.8] 9736498 0.405046../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10075559 0.405049../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10071149 0.405053../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10072762 0.405053../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.8] 9719385 0.405075../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 10126145 0.405082../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 9661889 0.405102../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 10201390 0.405133../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.9] 10295691 0.405206../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.9] 10296736 0.405207../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.9] 10297041 0.405209../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 10304584 0.405217../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 9499625 0.40526 ../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.7] 8315053 0.405268../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 10365115 0.405273../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 10392798 0.405304../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10437608 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10437608 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
Offline Clock 1st iteration 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10437581 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10437637 0.405347../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10437518 0.405348../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10437506 0.405348../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10436347 0.405354../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8726327 0.405386../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8725868 0.40542 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8732526 0.405431../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8580732 0.405486../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8585665 0.405501../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8588061 0.405508../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8326850 0.405756../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8327166 0.405763../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8326462 0.405766../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.7] 8059906 0.405838../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.7] 8049488 0.40587 ../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.7] 8042351 0.405892../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.6] 7800758 0.40608 ../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.5] 7070078 0.407716../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 7834799 0.408448../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 7774546 0.408582../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6916002 0.408634../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6915047 0.40864 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6913603 0.408645../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6869407 0.40874 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6867350 0.408746../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6867037 0.408747../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.6] 6819251 0.409021../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.6] 6799142 0.409126../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.6] 6788583 0.409184../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.7] 7443136 0.409405../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6644635 0.409435../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6642620 0.409445../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6641067 0.409452../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.7] 7436391 0.409469../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.7] 7441925 0.409488../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 8031581 0.412232../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5726004 0.412496../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5725118 0.4125 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5724526 0.412503../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7853577 0.412794../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7754885 0.413109../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 6099054 0.413529../../result/log/zipf_1_16 0.01 1
LR_5_imba[cache_size=0.01,treshold=0.5] 6117204 0.413555../../result/log/zipf_1_16 0.01 1
LR_6_imba[cache_size=0.01,treshold=0.5] 6115382 0.41356 ../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5391766 0.413825../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5391977 0.413827../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5390735 0.413832../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 8239578 0.413925../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8239578 0.413925../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.5] 5351095 0.414665../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.5] 5348562 0.414701../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.5] 5350660 0.414704../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.6] 5622068 0.415253../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.6] 5600263 0.415314../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.6] 5574530 0.415374../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4776669 0.416468../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4776046 0.416472../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4775900 0.416473../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6733777 0.416491../../result/log/zipf_1_16 0.01 1
LR_1_log[cache_size=0.01,treshold=0.5] 5322339 0.416864../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6613943 0.416905../../result/log/zipf_1_16 0.01 1
LR_4_log[cache_size=0.01,treshold=0.5] 5200474 0.417089../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6555117 0.417117../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4543597 0.417588../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542423 0.417593../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4542238 0.417596../../result/log/zipf_1_16 0.01 1
LR_4[cache_size=0.01,treshold=0.5] 4810068 0.418154../../result/log/zipf_1_16 0.01 1
LR_6[cache_size=0.01,treshold=0.5] 4809945 0.418154../../result/log/zipf_1_16 0.01 1
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 4810029 0.418154../../result/log/zipf_1_16 0.01 1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 4809511 0.418156../../result/log/zipf_1_16 0.01 1
LR_5[cache_size=0.01,treshold=0.5] 4808886 0.418159../../result/log/zipf_1_16 0.01 1
LR_1[cache_size=0.01,treshold=0.5] 4788898 0.418756../../result/log/zipf_1_16 0.01 1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 4788111 0.418759../../result/log/zipf_1_16 0.01 1
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 4787832 0.418761../../result/log/zipf_1_16 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 4652674 0.419069../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4088282 0.419873../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4086930 0.41988 ../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4086584 0.419881../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.5] 4375097 0.420329../../result/log/zipf_1_16 0.01 1
LR_3[cache_size=0.01,treshold=0.5] 5674629 0.420334../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.5] 4368814 0.420365../../result/log/zipf_1_16 0.01 1
LR_2[cache_size=0.01,treshold=0.5] 5654642 0.420418../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.5] 4349191 0.420441../../result/log/zipf_1_16 0.01 1
LR_4_mean[cache_size=0.01,treshold=0.5] 4765470 0.421205../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5949888 0.421275../../result/log/zipf_1_16 0.01 1
LR_1_mean[cache_size=0.01,treshold=0.5] 4830414 0.421762../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4854443 0.422503../../result/log/zipf_1_16 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 3706052 0.423479../../result/log/zipf_1_16 0.01 1
LR_id[cache_size=0.01,treshold=0.3] 3386583 0.423614../../result/log/zipf_1_16 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3363799 0.423905../../result/log/zipf_1_16 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3362433 0.423914../../result/log/zipf_1_16 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362161 0.423915../../result/log/zipf_1_16 0.01 1
LR_3_log[cache_size=0.01,treshold=0.5] 4448101 0.424994../../result/log/zipf_1_16 0.01 1
LR_3_mean[cache_size=0.01,treshold=0.5] 4468241 0.425107../../result/log/zipf_1_16 0.01 1
LR_2_log[cache_size=0.01,treshold=0.5] 4384297 0.425281../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4430991 0.425282../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4411075 0.425371../../result/log/zipf_1_16 0.01 1
LR_2_mean[cache_size=0.01,treshold=0.5] 4399249 0.425395../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4361114 0.425575../../result/log/zipf_1_16 0.01 1
LR_7_id[cache_size=0.01,treshold=0.3] 3081734 0.42629 ../../result/log/zipf_1_16 0.01 1
LR_8_id[cache_size=0.01,treshold=0.3] 3078473 0.42632 ../../result/log/zipf_1_16 0.01 1
LR_9_id[cache_size=0.01,treshold=0.3] 3070892 0.426375../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3768645 0.427273../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3794773 0.428055../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3793209 0.428066../../result/log/zipf_1_16 0.01 1
LR_8[cache_size=0.01,treshold=0.3] 2830245 0.428275../../result/log/zipf_1_16 0.01 1
LR_7[cache_size=0.01,treshold=0.3] 2828400 0.428276../../result/log/zipf_1_16 0.01 1
LR_9[cache_size=0.01,treshold=0.3] 2833294 0.428283../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3704986 0.428455../../result/log/zipf_1_16 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 2930198 0.429341../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2697753 0.433287../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2681949 0.433339../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2565641 0.433933../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 2485375 0.434205../../result/log/zipf_1_16 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1757198 0.435467../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2199923 0.435688../../result/log/zipf_1_16 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 1702225 0.438384../../result/log/zipf_1_16 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1541566 0.439412../../result/log/zipf_1_16 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456803 0.439916../../result/log/zipf_1_16 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1396899 0.440291../../result/log/zipf_1_16 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176660 0.441402../../result/log/zipf_1_16 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5851636 0.210029../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.8] 8629815 0.21197 ../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.7] 8191921 0.212033../../result/log/zipf_1_16 0.1 1
Zipf Optimal Distribution 8926367 0.212052../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.9] 9041580 0.212116../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.8] 8754495 0.212118../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.8] 8754626 0.212118../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.8] 8754340 0.212119../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.9] 9344871 0.212405../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.9] 9344476 0.212405../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.9] 9344971 0.212405../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.6] 7649035 0.212432../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.7] 7856136 0.21264 ../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.7] 7853970 0.212644../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.7] 7853637 0.212647../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.5] 6878413 0.213578../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.8] 9750736 0.213751../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.8] 9743143 0.213754../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.8] 9739734 0.213755../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 9371039 0.213855../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 10267720 0.213974../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10274582 0.213983../../result/log/zipf_1_16 0.1 1
Offline Clock 1st iteration 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10274500 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10274572 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10274590 0.213983../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10273607 0.213984../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.9] 10274534 0.213984../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.9] 10274534 0.213984../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 10274493 0.213984../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 10274512 0.213984../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10274003 0.213984../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.9] 10274532 0.213984../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 10274512 0.213984../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 10274439 0.213984../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10273532 0.213985../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10273648 0.213985../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10273595 0.213985../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 9125193 0.213987../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10271995 0.213988../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10271666 0.213989../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10271755 0.213989../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10271794 0.213989../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10270799 0.21399 ../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10256628 0.214019../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10243461 0.214046../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10183372 0.21416 ../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10147164 0.214231../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.6] 6486799 0.215473../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.6] 6483208 0.215486../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.6] 6483207 0.21549 ../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 7248211 0.216368../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 7200645 0.216435../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.7] 7151491 0.21657 ../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.7] 7149477 0.216579../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.7] 7150467 0.216582../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7364218 0.216881../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7375330 0.216894../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7380065 0.216898../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7342209 0.216934../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7343378 0.216936../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7344877 0.216942../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7216374 0.217167../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7214966 0.217169../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7215727 0.217175../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 8231439 0.218805../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 8212051 0.218836../../result/log/zipf_1_16 0.1 1
LR_6_imba[cache_size=0.1,treshold=0.5] 6327297 0.219355../../result/log/zipf_1_16 0.1 1
LR_5_imba[cache_size=0.1,treshold=0.5] 6327985 0.219356../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7894610 0.21938 ../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.5] 5075649 0.220048../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.5] 5074937 0.220058../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.5] 5073821 0.22006 ../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 5593280 0.220169../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.6] 5362692 0.220857../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.6] 5358593 0.220859../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.6] 5360305 0.22086 ../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4943629 0.221601../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4936727 0.221616../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4925687 0.221659../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6742116 0.222142../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6736544 0.222158../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6732196 0.22217 ../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4738193 0.222326../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4735021 0.222335../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4733840 0.222338../../result/log/zipf_1_16 0.1 1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 4939872 0.222556../../result/log/zipf_1_16 0.1 1
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 4939135 0.222556../../result/log/zipf_1_16 0.1 1
LR_4[cache_size=0.1,treshold=0.5] 4939440 0.222557../../result/log/zipf_1_16 0.1 1
LR_6[cache_size=0.1,treshold=0.5] 4939093 0.222558../../result/log/zipf_1_16 0.1 1
LR_5[cache_size=0.1,treshold=0.5] 4937768 0.222564../../result/log/zipf_1_16 0.1 1
LR_1_log[cache_size=0.1,treshold=0.5] 5079857 0.222593../../result/log/zipf_1_16 0.1 1
LR_4_log[cache_size=0.1,treshold=0.5] 4986564 0.222636../../result/log/zipf_1_16 0.1 1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 5065124 0.222876../../result/log/zipf_1_16 0.1 1
LR_1[cache_size=0.1,treshold=0.5] 5064768 0.222877../../result/log/zipf_1_16 0.1 1
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 5065031 0.222879../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6318541 0.223323../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6309387 0.22335 ../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6298342 0.223385../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 5705574 0.223839../../result/log/zipf_1_16 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 4295017 0.224392../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5380365 0.224623../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.5] 4190226 0.224816../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.5] 4188394 0.224819../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.5] 4185754 0.224825../../result/log/zipf_1_16 0.1 1
LR_2[cache_size=0.1,treshold=0.5] 5631981 0.225515../../result/log/zipf_1_16 0.1 1
LR_3[cache_size=0.1,treshold=0.5] 5631730 0.225516../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3780847 0.225992../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3780236 0.225994../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3779446 0.225996../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3706147 0.226329../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3705147 0.226332../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3704837 0.226332../../result/log/zipf_1_16 0.1 1
LR_id[cache_size=0.1,treshold=0.3] 3210918 0.227239../../result/log/zipf_1_16 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 3444957 0.227899../../result/log/zipf_1_16 0.1 1
LR_4_mean[cache_size=0.1,treshold=0.5] 4360955 0.228154../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3987701 0.228312../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3880149 0.228621../../result/log/zipf_1_16 0.1 1
LR_1_mean[cache_size=0.1,treshold=0.5] 4495191 0.229072../../result/log/zipf_1_16 0.1 1
LR_3_mean[cache_size=0.1,treshold=0.5] 4458894 0.22921 ../../result/log/zipf_1_16 0.1 1
LR_3_log[cache_size=0.1,treshold=0.5] 4449186 0.229217../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3077311 0.229223../../result/log/zipf_1_16 0.1 1
LR_2_mean[cache_size=0.1,treshold=0.5] 4453705 0.22923 ../../result/log/zipf_1_16 0.1 1
LR_2_log[cache_size=0.1,treshold=0.5] 4443916 0.229237../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3072991 0.229237../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3072201 0.229242../../result/log/zipf_1_16 0.1 1
LR_8_id[cache_size=0.1,treshold=0.3] 2975934 0.229573../../result/log/zipf_1_16 0.1 1
LR_7_id[cache_size=0.1,treshold=0.3] 2974284 0.229583../../result/log/zipf_1_16 0.1 1
LR_9_id[cache_size=0.1,treshold=0.3] 2973629 0.229584../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4260116 0.22992 ../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4245335 0.229974../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4235217 0.230009../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111649 0.230457../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091646 0.230531../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4085206 0.230552../../result/log/zipf_1_16 0.1 1
LR_8[cache_size=0.1,treshold=0.3] 2725171 0.231416../../result/log/zipf_1_16 0.1 1
LR_7[cache_size=0.1,treshold=0.3] 2725154 0.231417../../result/log/zipf_1_16 0.1 1
LR_9[cache_size=0.1,treshold=0.3] 2723740 0.231426../../result/log/zipf_1_16 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 2828032 0.231829../../result/log/zipf_1_16 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2487232 0.232314../../result/log/zipf_1_16 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2486949 0.232317../../result/log/zipf_1_16 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2485862 0.232323../../result/log/zipf_1_16 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224337 0.23477 ../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2788641 0.235744../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2782543 0.235772../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2776332 0.235798../../result/log/zipf_1_16 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1682058 0.241013../../result/log/zipf_1_16 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1658056 0.241133../../result/log/zipf_1_16 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1646157 0.241196../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 526246 0.247672../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420884 0.248365../../result/log/zipf_1_16 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 260565 0.249465../../result/log/zipf_1_16 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193186 0.249944../../result/log/zipf_1_16 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5683642 0.147393../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.7] 7975311 0.150091../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.6] 7404470 0.150234../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.8] 8446568 0.150249../../result/log/zipf_1_16 0.2 1
Zipf Optimal Distribution 8505430 0.150288../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.8] 8543742 0.150477../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.8] 8544889 0.150479../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.8] 8544723 0.150479../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.9] 8886092 0.150641../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.7] 7578691 0.150728../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.7] 7577335 0.150729../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.7] 7577433 0.15073 ../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.5] 6601552 0.151068../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.9] 9187006 0.151088../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.9] 9187976 0.151089../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.9] 9188186 0.15109 ../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 8966724 0.152807../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 9207106 0.152818../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10010485 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
Offline Clock 1st iteration 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10010510 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10010326 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10010456 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010513 0.152836../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10010513 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10010432 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10010505 0.152836../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10010518 0.152836../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10010226 0.152837../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10010202 0.152837../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10009864 0.152838../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10009338 0.152839../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.8] 9547859 0.152851../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.8] 9547489 0.152852../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.8] 9535780 0.152853../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.6] 6191270 0.153115../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.6] 6190905 0.153117../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.6] 6189772 0.153122../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9746351 0.153262../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9728236 0.15329 ../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9696606 0.153341../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9616362 0.153467../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9598544 0.153498../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9581302 0.153529../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9568890 0.153551../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9557105 0.153572../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9550261 0.153584../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 7127190 0.154333../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 7086766 0.154342../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.7] 7023421 0.15454 ../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.7] 7021371 0.154542../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.7] 7015930 0.154551../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 7238923 0.155277../../result/log/zipf_1_16 0.2 1
LR_6_imba[cache_size=0.2,treshold=0.5] 6444774 0.15659 ../../result/log/zipf_1_16 0.2 1
LR_5_imba[cache_size=0.2,treshold=0.5] 6447329 0.156597../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.5] 4853092 0.156901../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.5] 4852161 0.156903../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.5] 4852076 0.156907../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 5478880 0.157195../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.6] 5236734 0.157779../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.6] 5233863 0.157783../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.6] 5234636 0.157786../../result/log/zipf_1_16 0.2 1
LR_4[cache_size=0.2,treshold=0.5] 5049745 0.159245../../result/log/zipf_1_16 0.2 1
LR_6[cache_size=0.2,treshold=0.5] 5049550 0.159246../../result/log/zipf_1_16 0.2 1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 5049541 0.159246../../result/log/zipf_1_16 0.2 1
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 5050818 0.159248../../result/log/zipf_1_16 0.2 1
LR_5[cache_size=0.2,treshold=0.5] 5050714 0.159251../../result/log/zipf_1_16 0.2 1
LR_1[cache_size=0.2,treshold=0.5] 5116713 0.15949 ../../result/log/zipf_1_16 0.2 1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 5115868 0.159491../../result/log/zipf_1_16 0.2 1
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 5117756 0.159495../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5216755 0.159664../../result/log/zipf_1_16 0.2 1
LR_4_log[cache_size=0.2,treshold=0.5] 4772191 0.159728../../result/log/zipf_1_16 0.2 1
LR_1_log[cache_size=0.2,treshold=0.5] 4846788 0.159729../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6422871 0.159729../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6420490 0.159735../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6417610 0.159743../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6044601 0.160647../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6039481 0.160661../../result/log/zipf_1_16 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 4186945 0.160669../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6035935 0.160669../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.5] 4067828 0.161033../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.5] 4068538 0.161034../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.5] 4065692 0.161038../../result/log/zipf_1_16 0.2 1
LR_2[cache_size=0.2,treshold=0.5] 5500790 0.162234../../result/log/zipf_1_16 0.2 1
LR_3[cache_size=0.2,treshold=0.5] 5500292 0.162235../../result/log/zipf_1_16 0.2 1
LR_id[cache_size=0.2,treshold=0.3] 3104967 0.162593../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5017335 0.162652../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4638118 0.163395../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4633154 0.163404../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4701991 0.163493../../result/log/zipf_1_16 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 3332791 0.163688../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4361733 0.164157../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4357859 0.164165../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4352832 0.164175../../result/log/zipf_1_16 0.2 1
LR_4_mean[cache_size=0.2,treshold=0.5] 4284489 0.16423 ../../result/log/zipf_1_16 0.2 1
LR_7_id[cache_size=0.2,treshold=0.3] 2891885 0.164875../../result/log/zipf_1_16 0.2 1
LR_8_id[cache_size=0.2,treshold=0.3] 2891439 0.164879../../result/log/zipf_1_16 0.2 1
LR_9_id[cache_size=0.2,treshold=0.3] 2890314 0.164883../../result/log/zipf_1_16 0.2 1
LR_3_log[cache_size=0.2,treshold=0.5] 4399334 0.165133../../result/log/zipf_1_16 0.2 1
LR_2_log[cache_size=0.2,treshold=0.5] 4397483 0.165138../../result/log/zipf_1_16 0.2 1
LR_1_mean[cache_size=0.2,treshold=0.5] 4392730 0.165158../../result/log/zipf_1_16 0.2 1
LR_3_mean[cache_size=0.2,treshold=0.5] 4390766 0.165166../../result/log/zipf_1_16 0.2 1
LR_2_mean[cache_size=0.2,treshold=0.5] 4388570 0.165173../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4173234 0.165839../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4170652 0.165847../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4169452 0.16585 ../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4026213 0.16631 ../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4025598 0.166311../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4024916 0.166314../../result/log/zipf_1_16 0.2 1
LR_8[cache_size=0.2,treshold=0.3] 2619181 0.166771../../result/log/zipf_1_16 0.2 1
LR_7[cache_size=0.2,treshold=0.3] 2617153 0.16678 ../../result/log/zipf_1_16 0.2 1
LR_9[cache_size=0.2,treshold=0.3] 2616355 0.166784../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3552442 0.166855../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3427557 0.167009../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3423429 0.167015../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3423673 0.167016../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2837594 0.167167../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3449253 0.167174../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3318529 0.167323../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3316277 0.167327../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3313986 0.167329../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2690831 0.16941 ../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2689623 0.169411../../result/log/zipf_1_16 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2741213 0.169538../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2842470 0.170479../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2830560 0.170523../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2825981 0.170541../../result/log/zipf_1_16 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1884768 0.172017../../result/log/zipf_1_16 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1876720 0.172025../../result/log/zipf_1_16 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1865708 0.172037../../result/log/zipf_1_16 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2024363 0.172162../../result/log/zipf_1_16 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746643 0.17513 ../../result/log/zipf_1_16 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742907 0.175147../../result/log/zipf_1_16 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739888 0.175162../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216807 0.183694../../result/log/zipf_1_16 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 128353 0.184327../../result/log/zipf_1_16 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101602 0.184524../../result/log/zipf_1_16 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5225924 0.0827439../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.6] 6629114 0.0862959../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.7] 7277991 0.0864473../../result/log/zipf_1_16 0.4 1
Zipf Optimal Distribution 7664562 0.0867505../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.5] 5760718 0.0868007../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.8] 7841531 0.0869332../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.7] 6777783 0.0871755../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.7] 6777362 0.0871762../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.7] 6775667 0.0871789../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.8] 7913662 0.0872975../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.8] 7913542 0.0872976../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.8] 7912982 0.0872978../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.9] 8364685 0.0877362../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.9] 8688282 0.0884407../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.9] 8688397 0.0884411../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.9] 8688428 0.0884412../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.6] 5419937 0.0888532../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.6] 5419512 0.0888559../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.6] 5417363 0.0888631../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
Offline Clock 1st iteration 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9242882 0.0897459../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 9242694 0.0897461../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9144740 0.0898567../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9139134 0.0898628../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9137767 0.0898644../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 8686427 0.0898647../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9133902 0.0898684../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9131014 0.0898716../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9128188 0.0898745../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 8544796 0.0898812../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.8] 8611294 0.0898878../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.8] 8610365 0.0898882../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.8] 8610028 0.0898884../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8886004 0.090124 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8885767 0.090124 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8884109 0.0901252../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8882262 0.0901278../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8882262 0.0901278../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8880669 0.0901298../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 7083588 0.0903566../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 7051152 0.0903573../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8405327 0.0906652../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8401564 0.0906702../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8400206 0.0906713../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.7] 6576404 0.0906925../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.7] 6575676 0.0906927../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.7] 6575861 0.0906929../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8355176 0.0907292../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8350532 0.0907341../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8348071 0.0907372../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.5] 4276168 0.0913508../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.5] 4276297 0.091352 ../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.5] 4274742 0.0913576../../result/log/zipf_1_16 0.4 1
LR_6_imba[cache_size=0.4,treshold=0.5] 6416254 0.0914507../../result/log/zipf_1_16 0.4 1
LR_5_imba[cache_size=0.4,treshold=0.5] 6433458 0.091456 ../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 5459838 0.0916519../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.6] 4894579 0.0923771../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.6] 4894969 0.0923773../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.6] 4894672 0.0923775../../result/log/zipf_1_16 0.4 1
LR_6[cache_size=0.4,treshold=0.5] 4837475 0.0935377../../result/log/zipf_1_16 0.4 1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 4837457 0.0935397../../result/log/zipf_1_16 0.4 1
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 4840240 0.0935487../../result/log/zipf_1_16 0.4 1
LR_5[cache_size=0.4,treshold=0.5] 4838764 0.0935512../../result/log/zipf_1_16 0.4 1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 4841267 0.0935939../../result/log/zipf_1_16 0.4 1
LR_1[cache_size=0.4,treshold=0.5] 4840982 0.0935942../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6217889 0.0935949../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6216166 0.0935974../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6216062 0.0935977../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6215585 0.0935983../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6215091 0.0935984../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6215014 0.0935986../../result/log/zipf_1_16 0.4 1
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 4842354 0.0936088../../result/log/zipf_1_16 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 4096069 0.0937193../../result/log/zipf_1_16 0.4 1
LR_4[cache_size=0.4,treshold=0.5] 4714824 0.0937862../../result/log/zipf_1_16 0.4 1
LR_4_log[cache_size=0.4,treshold=0.5] 4277838 0.0941138../../result/log/zipf_1_16 0.4 1
LR_1_log[cache_size=0.4,treshold=0.5] 4296714 0.094131 ../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.5] 3743350 0.0943692../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.5] 3743079 0.0943696../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.5] 3743751 0.0943697../../result/log/zipf_1_16 0.4 1
LR_id[cache_size=0.4,treshold=0.3] 2797828 0.0945991../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5452787 0.0949107../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5452024 0.094912 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5450060 0.0949163../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5437415 0.0949367../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5436795 0.0949382../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5436522 0.0949385../../result/log/zipf_1_16 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 3206714 0.0956928../../result/log/zipf_1_16 0.4 1
LR_3[cache_size=0.4,treshold=0.5] 5047717 0.095701 ../../result/log/zipf_1_16 0.4 1
LR_8_id[cache_size=0.4,treshold=0.3] 2653546 0.0965643../../result/log/zipf_1_16 0.4 1
LR_9_id[cache_size=0.4,treshold=0.3] 2653067 0.0965656../../result/log/zipf_1_16 0.4 1
LR_7_id[cache_size=0.4,treshold=0.3] 2652954 0.0965672../../result/log/zipf_1_16 0.4 1
LR_2[cache_size=0.4,treshold=0.5] 4373379 0.0970193../../result/log/zipf_1_16 0.4 1
LR_4_mean[cache_size=0.4,treshold=0.5] 3960105 0.097059 ../../result/log/zipf_1_16 0.4 1
LR_2_log[cache_size=0.4,treshold=0.5] 4108936 0.0973669../../result/log/zipf_1_16 0.4 1
LR_3_log[cache_size=0.4,treshold=0.5] 4108635 0.0973677../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4212209 0.0973868../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4212109 0.097387 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4212109 0.097387 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4211953 0.0973876../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4211430 0.0973893../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4211188 0.0973898../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4028109 0.0976989../../result/log/zipf_1_16 0.4 1
LR_1_mean[cache_size=0.4,treshold=0.5] 4052857 0.0977761../../result/log/zipf_1_16 0.4 1
LR_3_mean[cache_size=0.4,treshold=0.5] 4053026 0.0977776../../result/log/zipf_1_16 0.4 1
LR_2_mean[cache_size=0.4,treshold=0.5] 4052359 0.0977788../../result/log/zipf_1_16 0.4 1
LR_8[cache_size=0.4,treshold=0.3] 2384703 0.098265 ../../result/log/zipf_1_16 0.4 1
LR_7[cache_size=0.4,treshold=0.3] 2384344 0.0982657../../result/log/zipf_1_16 0.4 1
LR_9[cache_size=0.4,treshold=0.3] 2384094 0.0982662../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3770881 0.0984211../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3769609 0.0984242../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3769124 0.0984251../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3732022 0.0985083../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3731373 0.0985102../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3730649 0.0985127../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3004477 0.100461 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3003798 0.100463 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3003222 0.100465 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 3000529 0.100473 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 3000155 0.100474 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 3000252 0.100474 ../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 2348153 0.102259 ../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2084724 0.103106 ../../result/log/zipf_1_16 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 1752119 0.104302 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1810756 0.104408 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1809921 0.104411 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1809031 0.104415 ../../result/log/zipf_1_16 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1792437 0.104464 ../../result/log/zipf_1_16 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1791955 0.104464 ../../result/log/zipf_1_16 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1790913 0.10447 ../../result/log/zipf_1_16 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1269156 0.106185 ../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87208 0.113083 ../../result/log/zipf_1_16 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 51014 0.113344 ../../result/log/zipf_1_16 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36416 0.113451 ../../result/log/zipf_1_16 0.4 1

zipf_1_17

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046350 0.403777../../result/log/zipf_1_17 0.01 1
Zipf Optimal Distribution 9518366 0.404457../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.9] 9409835 0.404472../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.9] 9411556 0.404472../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.9] 9411013 0.404473../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.9] 9117446 0.404493../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.8] 8854178 0.404704../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.8] 8852285 0.404707../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.8] 8850674 0.40471 ../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.8] 8727558 0.404722../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.8] 9771886 0.404899../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.8] 9738418 0.404932../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10078380 0.404938../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10074178 0.40494 ../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10075631 0.404941../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.8] 9721381 0.404961../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 10128918 0.404974../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 9664049 0.404988../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 10203909 0.405024../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.9] 10297456 0.405097../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.9] 10298403 0.405097../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.9] 10298864 0.405099../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 10306504 0.405107../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 9500821 0.405148../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.7] 8316193 0.405153../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 10366576 0.405167../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 10394764 0.405197../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439514 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439539 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439467 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
Offline Clock 1st iteration 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439539 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439561 0.405242../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439450 0.405243../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10438399 0.405248../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8728082 0.405269../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8726886 0.405304../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8733354 0.405315../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8581461 0.405375../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8586606 0.405389../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8589245 0.405395../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8328041 0.405643../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8328479 0.405649../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8327732 0.405652../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.7] 8063526 0.405719../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.7] 8052649 0.405752../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.7] 8045911 0.405773../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.6] 7803616 0.405958../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.5] 7070223 0.407614../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 7836914 0.408333../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 7776044 0.408472../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6917199 0.408528../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6916123 0.408533../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6914956 0.408539../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6870902 0.408634../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6868887 0.408641../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6868291 0.408644../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.6] 6818847 0.408915../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.6] 6799669 0.409016../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.6] 6789536 0.409071../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.7] 7446165 0.409288../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647794 0.40932 ../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6645249 0.409333../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6644053 0.409339../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.7] 7440328 0.409353../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.7] 7445732 0.409371../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 8034924 0.412109../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5730281 0.412374../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5729504 0.412378../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5728852 0.412381../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7858768 0.412659../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7759105 0.412981../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 6103423 0.413404../../result/log/zipf_1_17 0.01 1
LR_5_imba[cache_size=0.01,treshold=0.5] 6121964 0.413434../../result/log/zipf_1_17 0.01 1
LR_6_imba[cache_size=0.01,treshold=0.5] 6120209 0.413439../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5395395 0.413709../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5395990 0.413711../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5394726 0.413716../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 8240720 0.413818../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8240720 0.413818../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.5] 5354514 0.414549../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.5] 5351788 0.414586../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.5] 5354237 0.41459 ../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.6] 5625900 0.41513 ../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.6] 5604181 0.415189../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.6] 5578573 0.415244../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4780572 0.416354../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4779714 0.416357../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4779611 0.416358../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6735183 0.416378../../result/log/zipf_1_17 0.01 1
LR_1_log[cache_size=0.01,treshold=0.5] 5326124 0.416748../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6615081 0.416793../../result/log/zipf_1_17 0.01 1
LR_4_log[cache_size=0.01,treshold=0.5] 5204316 0.416969../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6556563 0.417008../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4546871 0.417476../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4545638 0.417479../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4545583 0.417482../../result/log/zipf_1_17 0.01 1
LR_4[cache_size=0.01,treshold=0.5] 4811920 0.418042../../result/log/zipf_1_17 0.01 1
LR_6[cache_size=0.01,treshold=0.5] 4812127 0.418042../../result/log/zipf_1_17 0.01 1
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 4811826 0.418043../../result/log/zipf_1_17 0.01 1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 4811417 0.418045../../result/log/zipf_1_17 0.01 1
LR_5[cache_size=0.01,treshold=0.5] 4811200 0.418045../../result/log/zipf_1_17 0.01 1
LR_1[cache_size=0.01,treshold=0.5] 4791944 0.418643../../result/log/zipf_1_17 0.01 1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 4791449 0.418643../../result/log/zipf_1_17 0.01 1
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 4791096 0.418645../../result/log/zipf_1_17 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 4654213 0.418963../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4090923 0.419757../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4090029 0.41976 ../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4089402 0.419763../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.5] 4377646 0.420218../../result/log/zipf_1_17 0.01 1
LR_3[cache_size=0.01,treshold=0.5] 5676931 0.420227../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.5] 4370959 0.420257../../result/log/zipf_1_17 0.01 1
LR_2[cache_size=0.01,treshold=0.5] 5656274 0.420316../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.5] 4351594 0.420333../../result/log/zipf_1_17 0.01 1
LR_4_mean[cache_size=0.01,treshold=0.5] 4804648 0.420918../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5952343 0.421169../../result/log/zipf_1_17 0.01 1
LR_1_mean[cache_size=0.01,treshold=0.5] 4879405 0.421438../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4857659 0.422392../../result/log/zipf_1_17 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 3708875 0.423366../../result/log/zipf_1_17 0.01 1
LR_id[cache_size=0.01,treshold=0.3] 3386391 0.423517../../result/log/zipf_1_17 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3365292 0.423799../../result/log/zipf_1_17 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363908 0.423807../../result/log/zipf_1_17 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3363487 0.423809../../result/log/zipf_1_17 0.01 1
LR_3_log[cache_size=0.01,treshold=0.5] 4447019 0.424911../../result/log/zipf_1_17 0.01 1
LR_3_mean[cache_size=0.01,treshold=0.5] 4468466 0.425016../../result/log/zipf_1_17 0.01 1
LR_2_log[cache_size=0.01,treshold=0.5] 4383054 0.425199../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4429964 0.4252 ../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4410744 0.425283../../result/log/zipf_1_17 0.01 1
LR_2_mean[cache_size=0.01,treshold=0.5] 4400513 0.425298../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4360560 0.42549 ../../result/log/zipf_1_17 0.01 1
LR_7_id[cache_size=0.01,treshold=0.3] 3084386 0.426169../../result/log/zipf_1_17 0.01 1
LR_8_id[cache_size=0.01,treshold=0.3] 3081304 0.426201../../result/log/zipf_1_17 0.01 1
LR_9_id[cache_size=0.01,treshold=0.3] 3073214 0.426258../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3770422 0.427162../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3796090 0.427953../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794990 0.427964../../result/log/zipf_1_17 0.01 1
LR_8[cache_size=0.01,treshold=0.3] 2832383 0.428161../../result/log/zipf_1_17 0.01 1
LR_7[cache_size=0.01,treshold=0.3] 2830461 0.428163../../result/log/zipf_1_17 0.01 1
LR_9[cache_size=0.01,treshold=0.3] 2835421 0.428171../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3706669 0.428353../../result/log/zipf_1_17 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 2932319 0.429231../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2700141 0.433176../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2684410 0.433224../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2568625 0.433817../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 2488184 0.434089../../result/log/zipf_1_17 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758568 0.435363../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2203235 0.435565../../result/log/zipf_1_17 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 1701893 0.438282../../result/log/zipf_1_17 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1540387 0.439321../../result/log/zipf_1_17 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456588 0.439811../../result/log/zipf_1_17 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1396529 0.440189../../result/log/zipf_1_17 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176510 0.441305../../result/log/zipf_1_17 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5851791 0.209897../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.8] 8626850 0.211846../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.7] 8189023 0.211912../../result/log/zipf_1_17 0.1 1
Zipf Optimal Distribution 8925674 0.211925../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.8] 8753423 0.211984../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.8] 8753255 0.211984../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.8] 8753120 0.211985../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.9] 9039501 0.211992../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.9] 9342359 0.212283../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.9] 9341883 0.212283../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.9] 9342350 0.212284../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.6] 7644904 0.212323../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.7] 7851266 0.212524../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.7] 7848772 0.212528../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.7] 7848286 0.212531../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.5] 6875916 0.213459../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.8] 9747434 0.213628../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.8] 9739230 0.21363 ../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.8] 9735705 0.213631../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 9369942 0.213726../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 10265777 0.213843../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10272629 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10272629 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10272627 0.213852../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.9] 10272576 0.213852../../result/log/zipf_1_17 0.1 1
Offline Clock 1st iteration 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.9] 10272576 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10272511 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.9] 10272574 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10272606 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10272630 0.213852../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 10272536 0.213853../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 10272556 0.213853../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10272179 0.213853../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 10272459 0.213853../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 10272556 0.213853../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10271597 0.213854../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10271650 0.213854../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10271632 0.213854../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10271706 0.213854../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10269955 0.213857../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10269910 0.213857../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10268924 0.213858../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10269580 0.213858../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 9121962 0.213858../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10269872 0.213858../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10252779 0.213892../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10239477 0.213918../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10179153 0.214034../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10141557 0.214113../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.6] 6482661 0.215349../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.6] 6478734 0.215363../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.6] 6478778 0.215368../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 7245609 0.216245../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 7197236 0.21632 ../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.7] 7146655 0.216453../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.7] 7144703 0.216462../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.7] 7145670 0.216464../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7359868 0.216771../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7370996 0.216784../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7375457 0.216786../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7337822 0.216822../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7339060 0.216824../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7340514 0.21683 ../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7212567 0.217055../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7211379 0.217057../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7211905 0.217064../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 8225622 0.218677../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 8208596 0.218706../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7890041 0.219254../../result/log/zipf_1_17 0.1 1
LR_6_imba[cache_size=0.1,treshold=0.5] 6320850 0.219254../../result/log/zipf_1_17 0.1 1
LR_5_imba[cache_size=0.1,treshold=0.5] 6321590 0.219256../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.5] 5073120 0.219926../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.5] 5072122 0.219937../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.5] 5071193 0.219938../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 5590667 0.220045../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.6] 5359842 0.220738../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.6] 5356076 0.220739../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.6] 5357644 0.220741../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4940973 0.221476../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4935473 0.221493../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4924490 0.221535../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6734956 0.222037../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6729337 0.222053../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6724569 0.222067../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4738449 0.222188../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4735201 0.222198../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4734409 0.2222 ../../result/log/zipf_1_17 0.1 1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 4937304 0.222434../../result/log/zipf_1_17 0.1 1
LR_4[cache_size=0.1,treshold=0.5] 4936889 0.222435../../result/log/zipf_1_17 0.1 1
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 4936424 0.222435../../result/log/zipf_1_17 0.1 1
LR_6[cache_size=0.1,treshold=0.5] 4936455 0.222436../../result/log/zipf_1_17 0.1 1
LR_5[cache_size=0.1,treshold=0.5] 4935178 0.222442../../result/log/zipf_1_17 0.1 1
LR_1_log[cache_size=0.1,treshold=0.5] 5078486 0.222462../../result/log/zipf_1_17 0.1 1
LR_4_log[cache_size=0.1,treshold=0.5] 4984175 0.222521../../result/log/zipf_1_17 0.1 1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 5064416 0.222752../../result/log/zipf_1_17 0.1 1
LR_1[cache_size=0.1,treshold=0.5] 5064076 0.222753../../result/log/zipf_1_17 0.1 1
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 5064361 0.222756../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6309030 0.223228../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6300211 0.223253../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6289254 0.223285../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 5702001 0.223727../../result/log/zipf_1_17 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 4293074 0.224267../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5375344 0.224522../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.5] 4189369 0.224683../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.5] 4187519 0.224686../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.5] 4184896 0.224693../../result/log/zipf_1_17 0.1 1
LR_2[cache_size=0.1,treshold=0.5] 5627300 0.225401../../result/log/zipf_1_17 0.1 1
LR_3[cache_size=0.1,treshold=0.5] 5626948 0.225403../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3781650 0.225855../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3781220 0.225856../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3780457 0.225858../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3706288 0.226191../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3705211 0.226195../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3704953 0.226195../../result/log/zipf_1_17 0.1 1
LR_id[cache_size=0.1,treshold=0.3] 3210221 0.227093../../result/log/zipf_1_17 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 3444390 0.227766../../result/log/zipf_1_17 0.1 1
LR_4_mean[cache_size=0.1,treshold=0.5] 4357799 0.228038../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3986529 0.228188../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3880286 0.228496../../result/log/zipf_1_17 0.1 1
LR_1_mean[cache_size=0.1,treshold=0.5] 4500610 0.228925../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3076902 0.229077../../result/log/zipf_1_17 0.1 1
LR_3_mean[cache_size=0.1,treshold=0.5] 4458630 0.229088../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3072851 0.229091../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3072122 0.229097../../result/log/zipf_1_17 0.1 1
LR_3_log[cache_size=0.1,treshold=0.5] 4448819 0.229099../../result/log/zipf_1_17 0.1 1
LR_2_mean[cache_size=0.1,treshold=0.5] 4453223 0.229109../../result/log/zipf_1_17 0.1 1
LR_2_log[cache_size=0.1,treshold=0.5] 4443498 0.22912 ../../result/log/zipf_1_17 0.1 1
LR_8_id[cache_size=0.1,treshold=0.3] 2977768 0.229425../../result/log/zipf_1_17 0.1 1
LR_7_id[cache_size=0.1,treshold=0.3] 2976074 0.229435../../result/log/zipf_1_17 0.1 1
LR_9_id[cache_size=0.1,treshold=0.3] 2975388 0.229436../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4260402 0.2298 ../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4245340 0.229855../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4234801 0.229894../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111180 0.23034 ../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091778 0.230408../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4085178 0.230431../../result/log/zipf_1_17 0.1 1
LR_8[cache_size=0.1,treshold=0.3] 2724773 0.231282../../result/log/zipf_1_17 0.1 1
LR_7[cache_size=0.1,treshold=0.3] 2724954 0.231283../../result/log/zipf_1_17 0.1 1
LR_9[cache_size=0.1,treshold=0.3] 2723549 0.231291../../result/log/zipf_1_17 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 2827211 0.231686../../result/log/zipf_1_17 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2488327 0.232164../../result/log/zipf_1_17 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2487992 0.232166../../result/log/zipf_1_17 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2486732 0.232173../../result/log/zipf_1_17 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224946 0.234618../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2789782 0.235604../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2783845 0.23563 ../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2777465 0.235659../../result/log/zipf_1_17 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1684121 0.240858../../result/log/zipf_1_17 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1660063 0.240977../../result/log/zipf_1_17 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647886 0.241041../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 524824 0.247536../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420548 0.248225../../result/log/zipf_1_17 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 260502 0.249325../../result/log/zipf_1_17 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193420 0.249806../../result/log/zipf_1_17 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5680729 0.147336../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.7] 7968953 0.150028../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.6] 7397304 0.150184../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.8] 8438978 0.150191../../result/log/zipf_1_17 0.2 1
Zipf Optimal Distribution 8498188 0.150231../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.8] 8537084 0.15042 ../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.8] 8538269 0.150421../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.8] 8538047 0.150421../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.9] 8878487 0.150578../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.7] 7572543 0.150663../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.7] 7571079 0.150665../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.7] 7571275 0.150666../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.5] 6597787 0.151025../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.9] 9179437 0.151028../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.9] 9180583 0.151029../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.9] 9180308 0.151029../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 8960128 0.152738../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 9201293 0.152749../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10002858 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
Offline Clock 1st iteration 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10002874 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10002641 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10002812 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002876 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10002878 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10002873 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10002790 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10002871 0.152785../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10002880 0.152785../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10002145 0.152786../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10002465 0.152786../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10002553 0.152786../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10001590 0.152788../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.8] 9523014 0.152804../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.8] 9536570 0.152804../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.8] 9536275 0.152805../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.6] 6184831 0.153077../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.6] 6184526 0.153079../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.6] 6183377 0.153084../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9734899 0.153213../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9717252 0.15324 ../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9685110 0.15329 ../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9607488 0.153418../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9589724 0.153449../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9572529 0.153477../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9560462 0.153499../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9548445 0.153521../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9541670 0.153532../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 7122856 0.15426 ../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 7082153 0.154271../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.7] 7018075 0.154471../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.7] 7015849 0.154474../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.7] 7010319 0.154484../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 7231507 0.155212../../result/log/zipf_1_17 0.2 1
LR_6_imba[cache_size=0.2,treshold=0.5] 6439648 0.156516../../result/log/zipf_1_17 0.2 1
LR_5_imba[cache_size=0.2,treshold=0.5] 6442597 0.156522../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.5] 4850036 0.156839../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.5] 4849328 0.15684 ../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.5] 4849177 0.156844../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 5473917 0.157115../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.6] 5231447 0.157695../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.6] 5227521 0.157699../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.6] 5228704 0.157703../../result/log/zipf_1_17 0.2 1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 5043552 0.15918 ../../result/log/zipf_1_17 0.2 1
LR_4[cache_size=0.2,treshold=0.5] 5043445 0.15918 ../../result/log/zipf_1_17 0.2 1
LR_6[cache_size=0.2,treshold=0.5] 5043568 0.15918 ../../result/log/zipf_1_17 0.2 1
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 5045029 0.159181../../result/log/zipf_1_17 0.2 1
LR_5[cache_size=0.2,treshold=0.5] 5044629 0.159186../../result/log/zipf_1_17 0.2 1
LR_1[cache_size=0.2,treshold=0.5] 5110894 0.159424../../result/log/zipf_1_17 0.2 1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 5110178 0.159425../../result/log/zipf_1_17 0.2 1
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 5112034 0.15943 ../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5213195 0.159614../../result/log/zipf_1_17 0.2 1
LR_4_log[cache_size=0.2,treshold=0.5] 4768845 0.15965 ../../result/log/zipf_1_17 0.2 1
LR_1_log[cache_size=0.2,treshold=0.5] 4839276 0.159654../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6415091 0.159667../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6412682 0.159673../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6409686 0.159682../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6036959 0.160581../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6032244 0.160593../../result/log/zipf_1_17 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 4181920 0.160596../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6028506 0.160602../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.5] 4064674 0.16096 ../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.5] 4063819 0.16096 ../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.5] 4061748 0.160965../../result/log/zipf_1_17 0.2 1
LR_2[cache_size=0.2,treshold=0.5] 5494086 0.162168../../result/log/zipf_1_17 0.2 1
LR_3[cache_size=0.2,treshold=0.5] 5493563 0.16217 ../../result/log/zipf_1_17 0.2 1
LR_id[cache_size=0.2,treshold=0.3] 3103600 0.162549../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5012482 0.162593../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4634753 0.163329../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4629811 0.163337../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4697984 0.163428../../result/log/zipf_1_17 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 3328763 0.163629../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4357895 0.164091../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354036 0.164098../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4348719 0.164108../../result/log/zipf_1_17 0.2 1
LR_4_mean[cache_size=0.2,treshold=0.5] 4280993 0.164174../../result/log/zipf_1_17 0.2 1
LR_7_id[cache_size=0.2,treshold=0.3] 2890855 0.164812../../result/log/zipf_1_17 0.2 1
LR_8_id[cache_size=0.2,treshold=0.3] 2890304 0.164816../../result/log/zipf_1_17 0.2 1
LR_9_id[cache_size=0.2,treshold=0.3] 2889221 0.16482 ../../result/log/zipf_1_17 0.2 1
LR_3_log[cache_size=0.2,treshold=0.5] 4396336 0.165063../../result/log/zipf_1_17 0.2 1
LR_2_log[cache_size=0.2,treshold=0.5] 4394265 0.165069../../result/log/zipf_1_17 0.2 1
LR_1_mean[cache_size=0.2,treshold=0.5] 4388764 0.165092../../result/log/zipf_1_17 0.2 1
LR_3_mean[cache_size=0.2,treshold=0.5] 4386630 0.1651 ../../result/log/zipf_1_17 0.2 1
LR_2_mean[cache_size=0.2,treshold=0.5] 4384454 0.165107../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4169208 0.165773../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4166813 0.16578 ../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4165646 0.165784../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021861 0.166254../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4021063 0.166257../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4020453 0.166258../../result/log/zipf_1_17 0.2 1
LR_8[cache_size=0.2,treshold=0.3] 2617155 0.16672 ../../result/log/zipf_1_17 0.2 1
LR_7[cache_size=0.2,treshold=0.3] 2615194 0.166728../../result/log/zipf_1_17 0.2 1
LR_9[cache_size=0.2,treshold=0.3] 2614227 0.166733../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3553041 0.166764../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3426431 0.166932../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3422569 0.166939../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3422241 0.166939../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3449515 0.167086../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2832701 0.16712 ../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3317870 0.167243../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3315498 0.167247../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3313407 0.16725 ../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2686306 0.169354../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2687587 0.169354../../result/log/zipf_1_17 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2738217 0.169482../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2839561 0.170411../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2827109 0.170459../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2822472 0.170479../../result/log/zipf_1_17 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1883432 0.171953../../result/log/zipf_1_17 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1874738 0.171965../../result/log/zipf_1_17 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1863772 0.171976../../result/log/zipf_1_17 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022310 0.172107../../result/log/zipf_1_17 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746120 0.175073../../result/log/zipf_1_17 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742041 0.175092../../result/log/zipf_1_17 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739006 0.175107../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216929 0.183643../../result/log/zipf_1_17 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 128609 0.184273../../result/log/zipf_1_17 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 102090 0.184467../../result/log/zipf_1_17 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5224778 0.0827112../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.6] 6621359 0.0862665../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.7] 7272915 0.0864219../../result/log/zipf_1_17 0.4 1
Zipf Optimal Distribution 7661751 0.0867151../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.5] 5756290 0.0867603../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.8] 7837727 0.0868976../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.7] 6772537 0.0871332../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.7] 6772129 0.0871346../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.7] 6770425 0.0871383../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.8] 7909996 0.087271 ../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.8] 7909934 0.087271 ../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.8] 7909378 0.087271 ../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.9] 8363667 0.0876955../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.9] 8687678 0.0883894../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.9] 8687852 0.0883894../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.9] 8687772 0.0883895../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.6] 5413759 0.0888245../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.6] 5413358 0.0888265../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.6] 5411665 0.0888322../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
Offline Clock 1st iteration 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9240697 0.0897079../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 9240479 0.0897082../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9140590 0.0898125../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9134838 0.0898188../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9133405 0.0898207../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 8683798 0.0898224../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9129884 0.0898245../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9126852 0.0898284../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9124191 0.0898314../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 8542602 0.0898437../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.8] 8607827 0.0898513../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.8] 8608694 0.0898514../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.8] 8608122 0.0898514../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8882245 0.0900872../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8881989 0.0900875../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8880142 0.0900897../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8878006 0.0900926../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8878006 0.0900926../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8876235 0.0900952../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 7076669 0.0903462../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 7043324 0.0903498../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8404341 0.0906198../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8400569 0.090626 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8399085 0.0906271../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.7] 6567879 0.0906525../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.7] 6567706 0.0906527../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.7] 6568329 0.0906528../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8353580 0.0906838../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8348581 0.09069 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8346174 0.0906931../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.5] 4272222 0.0913094../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.5] 4272323 0.0913111../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.5] 4270775 0.0913166../../result/log/zipf_1_17 0.4 1
LR_6_imba[cache_size=0.4,treshold=0.5] 6412775 0.0914131../../result/log/zipf_1_17 0.4 1
LR_5_imba[cache_size=0.4,treshold=0.5] 6430525 0.0914194../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 5455846 0.0916217../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.6] 4888938 0.0923504../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.6] 4889390 0.0923506../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.6] 4889127 0.0923508../../result/log/zipf_1_17 0.4 1
LR_6[cache_size=0.4,treshold=0.5] 4834278 0.0934988../../result/log/zipf_1_17 0.4 1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 4834399 0.0935002../../result/log/zipf_1_17 0.4 1
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 4837302 0.0935106../../result/log/zipf_1_17 0.4 1
LR_5[cache_size=0.4,treshold=0.5] 4835836 0.0935126../../result/log/zipf_1_17 0.4 1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 4837890 0.0935557../../result/log/zipf_1_17 0.4 1
LR_1[cache_size=0.4,treshold=0.5] 4837777 0.0935559../../result/log/zipf_1_17 0.4 1
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 4839350 0.0935716../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6213882 0.0935793../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6212381 0.093582 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6212263 0.0935824../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6211569 0.0935837../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6210982 0.0935847../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6210939 0.0935849../../result/log/zipf_1_17 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 4090332 0.0936931../../result/log/zipf_1_17 0.4 1
LR_4[cache_size=0.4,treshold=0.5] 4710629 0.0937527../../result/log/zipf_1_17 0.4 1
LR_4_log[cache_size=0.4,treshold=0.5] 4271955 0.0940838../../result/log/zipf_1_17 0.4 1
LR_1_log[cache_size=0.4,treshold=0.5] 4291706 0.0940995../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.5] 3740101 0.0943324../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.5] 3740335 0.0943325../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.5] 3740741 0.0943328../../result/log/zipf_1_17 0.4 1
LR_id[cache_size=0.4,treshold=0.3] 2797609 0.0945734../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5447795 0.0948853../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5447141 0.0948863../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5445326 0.0948899../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5432304 0.0949123../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5431793 0.0949135../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5431443 0.0949136../../result/log/zipf_1_17 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 3204640 0.0956679../../result/log/zipf_1_17 0.4 1
LR_3[cache_size=0.4,treshold=0.5] 5042490 0.0956787../../result/log/zipf_1_17 0.4 1
LR_8_id[cache_size=0.4,treshold=0.3] 2652817 0.0965331../../result/log/zipf_1_17 0.4 1
LR_9_id[cache_size=0.4,treshold=0.3] 2652252 0.0965343../../result/log/zipf_1_17 0.4 1
LR_7_id[cache_size=0.4,treshold=0.3] 2652199 0.0965359../../result/log/zipf_1_17 0.4 1
LR_2[cache_size=0.4,treshold=0.5] 4369801 0.0969888../../result/log/zipf_1_17 0.4 1
LR_4_mean[cache_size=0.4,treshold=0.5] 3955480 0.0970318../../result/log/zipf_1_17 0.4 1
LR_2_log[cache_size=0.4,treshold=0.5] 4104826 0.0973389../../result/log/zipf_1_17 0.4 1
LR_3_log[cache_size=0.4,treshold=0.5] 4104559 0.097339 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4209882 0.0973594../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4209758 0.0973597../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4209758 0.0973597../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4209602 0.0973601../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4209180 0.0973607../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4208960 0.0973613../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4026445 0.097665 ../../result/log/zipf_1_17 0.4 1
LR_1_mean[cache_size=0.4,treshold=0.5] 4052584 0.0977353../../result/log/zipf_1_17 0.4 1
LR_3_mean[cache_size=0.4,treshold=0.5] 4053282 0.0977362../../result/log/zipf_1_17 0.4 1
LR_2_mean[cache_size=0.4,treshold=0.5] 4052661 0.0977374../../result/log/zipf_1_17 0.4 1
LR_8[cache_size=0.4,treshold=0.3] 2382480 0.0982436../../result/log/zipf_1_17 0.4 1
LR_7[cache_size=0.4,treshold=0.3] 2382153 0.0982441../../result/log/zipf_1_17 0.4 1
LR_9[cache_size=0.4,treshold=0.3] 2381894 0.098245 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3767780 0.0983931../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3766359 0.0983955../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3765984 0.098396 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3730537 0.0984798../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3729960 0.0984815../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3729374 0.0984827../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3003823 0.100429 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3003170 0.100431 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3002636 0.100432 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2999969 0.100441 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2999548 0.100442 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2999684 0.100442 ../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 2347326 0.102232 ../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2083598 0.103091 ../../result/log/zipf_1_17 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 1749573 0.104295 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1808285 0.104398 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1807629 0.1044 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1806752 0.104404 ../../result/log/zipf_1_17 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1790047 0.104452 ../../result/log/zipf_1_17 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1789334 0.104454 ../../result/log/zipf_1_17 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1788454 0.104458 ../../result/log/zipf_1_17 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1268039 0.10616 ../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87284 0.113031 ../../result/log/zipf_1_17 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 50842 0.113293 ../../result/log/zipf_1_17 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 35743 0.113408 ../../result/log/zipf_1_17 0.4 1

zipf_1_18

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6046061 0.40372 ../../result/log/zipf_1_18 0.01 1
Zipf Optimal Distribution 9518058 0.404413../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.9] 9410041 0.40443 ../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.9] 9408961 0.40443 ../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.9] 9410403 0.404431../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.9] 9118240 0.404441../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.8] 8857223 0.404643../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.8] 8855265 0.404646../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.8] 8853792 0.40465 ../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.8] 8730285 0.404661../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.8] 9772939 0.404858../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.8] 9739576 0.404889../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10079016 0.404897../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10074669 0.404901../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10076403 0.404901../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.8] 9722629 0.404917../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 10129870 0.404925../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 9665321 0.404946../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 10204455 0.404981../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.9] 10298097 0.405058../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.9] 10299138 0.405058../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.9] 10299781 0.405059../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 10307228 0.405066../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.7] 8317476 0.405092../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 9503273 0.405102../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 10367166 0.405128../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 10394864 0.405158../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10439702 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439716 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439616 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439613 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439714 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
Offline Clock 1st iteration 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10439737 0.4052 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10438585 0.405205../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8729644 0.405207../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8728768 0.405242../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8735480 0.405254../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8582437 0.405313../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8587930 0.405325../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8590536 0.405332../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8329579 0.405586../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8329974 0.405595../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8329380 0.405596../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.7] 8063454 0.405668../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.7] 8052709 0.4057 ../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.7] 8045554 0.405722../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.6] 7803335 0.405906../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.5] 7072489 0.407542../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 7837368 0.408283../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 7776828 0.408416../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6919169 0.40846 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6917789 0.408467../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6916499 0.40847 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6872222 0.408567../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6870251 0.408573../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6869797 0.408576../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.6] 6820596 0.408856../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.6] 6800970 0.408957../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.6] 6790453 0.409016../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.7] 7448289 0.409229../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6648927 0.409247../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6646598 0.409259../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6644967 0.409265../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.7] 7441892 0.409297../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.7] 7447352 0.409313../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 8036225 0.412065../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5727110 0.412326../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5726248 0.41233 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5725344 0.412333../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7859222 0.412622../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7760967 0.412938../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 6102786 0.413364../../result/log/zipf_1_18 0.01 1
LR_5_imba[cache_size=0.01,treshold=0.5] 6121447 0.413391../../result/log/zipf_1_18 0.01 1
LR_6_imba[cache_size=0.01,treshold=0.5] 6119422 0.413397../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5391546 0.413664../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5392025 0.413664../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5390439 0.413671../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 8243229 0.413757../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8243229 0.413757../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.5] 5352735 0.414494../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.5] 5350047 0.414532../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.5] 5352543 0.414534../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.6] 5625647 0.415084../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.6] 5603976 0.415143../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.6] 5577903 0.4152 ../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4778308 0.416311../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4777614 0.416315../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4777407 0.416316../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6736280 0.41633 ../../result/log/zipf_1_18 0.01 1
LR_1_log[cache_size=0.01,treshold=0.5] 5325729 0.416696../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6616555 0.416744../../result/log/zipf_1_18 0.01 1
LR_4_log[cache_size=0.01,treshold=0.5] 5204132 0.41692 ../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6558117 0.416954../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4544111 0.417436../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4542688 0.417442../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4542541 0.417445../../result/log/zipf_1_18 0.01 1
LR_4[cache_size=0.01,treshold=0.5] 4812110 0.417987../../result/log/zipf_1_18 0.01 1
LR_6[cache_size=0.01,treshold=0.5] 4812024 0.417987../../result/log/zipf_1_18 0.01 1
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 4812012 0.417987../../result/log/zipf_1_18 0.01 1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 4811563 0.417989../../result/log/zipf_1_18 0.01 1
LR_5[cache_size=0.01,treshold=0.5] 4811033 0.417992../../result/log/zipf_1_18 0.01 1
LR_1[cache_size=0.01,treshold=0.5] 4792015 0.418586../../result/log/zipf_1_18 0.01 1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 4791378 0.418587../../result/log/zipf_1_18 0.01 1
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 4791088 0.418589../../result/log/zipf_1_18 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 4654377 0.418905../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4090770 0.419706../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4089665 0.419712../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4088985 0.419715../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.5] 4377907 0.420158../../result/log/zipf_1_18 0.01 1
LR_3[cache_size=0.01,treshold=0.5] 5678001 0.420172../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.5] 4371182 0.420198../../result/log/zipf_1_18 0.01 1
LR_2[cache_size=0.01,treshold=0.5] 5658222 0.420254../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.5] 4351494 0.420276../../result/log/zipf_1_18 0.01 1
LR_4_mean[cache_size=0.01,treshold=0.5] 4765275 0.42103 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5952093 0.421119../../result/log/zipf_1_18 0.01 1
LR_1_mean[cache_size=0.01,treshold=0.5] 4830692 0.421592../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4856517 0.422339../../result/log/zipf_1_18 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 3707498 0.42332 ../../result/log/zipf_1_18 0.01 1
LR_id[cache_size=0.01,treshold=0.3] 3385753 0.423476../../result/log/zipf_1_18 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3364397 0.423761../../result/log/zipf_1_18 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363098 0.423769../../result/log/zipf_1_18 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362796 0.42377 ../../result/log/zipf_1_18 0.01 1
LR_3_log[cache_size=0.01,treshold=0.5] 4447291 0.424851../../result/log/zipf_1_18 0.01 1
LR_3_mean[cache_size=0.01,treshold=0.5] 4467820 0.424956../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4431402 0.425124../../result/log/zipf_1_18 0.01 1
LR_2_log[cache_size=0.01,treshold=0.5] 4383367 0.425136../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4411574 0.42521 ../../result/log/zipf_1_18 0.01 1
LR_2_mean[cache_size=0.01,treshold=0.5] 4398855 0.425244../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4360788 0.425422../../result/log/zipf_1_18 0.01 1
LR_7_id[cache_size=0.01,treshold=0.3] 3083074 0.426134../../result/log/zipf_1_18 0.01 1
LR_8_id[cache_size=0.01,treshold=0.3] 3080175 0.426163../../result/log/zipf_1_18 0.01 1
LR_9_id[cache_size=0.01,treshold=0.3] 3072012 0.42622 ../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3768750 0.427127../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3794691 0.427902../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3794220 0.427904../../result/log/zipf_1_18 0.01 1
LR_7[cache_size=0.01,treshold=0.3] 2829302 0.428127../../result/log/zipf_1_18 0.01 1
LR_8[cache_size=0.01,treshold=0.3] 2830516 0.428127../../result/log/zipf_1_18 0.01 1
LR_9[cache_size=0.01,treshold=0.3] 2833644 0.428137../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3706346 0.428292../../result/log/zipf_1_18 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 2931770 0.42918 ../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2698198 0.433132../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2682473 0.433185../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2565671 0.433786../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 2484922 0.434066../../result/log/zipf_1_18 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1758895 0.435314../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2200039 0.435536../../result/log/zipf_1_18 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 1700766 0.438238../../result/log/zipf_1_18 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1539105 0.439275../../result/log/zipf_1_18 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1456112 0.439763../../result/log/zipf_1_18 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1395766 0.440143../../result/log/zipf_1_18 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176016 0.441251../../result/log/zipf_1_18 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5852167 0.209865../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.8] 8628039 0.211799../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.7] 8189270 0.211882../../result/log/zipf_1_18 0.1 1
Zipf Optimal Distribution 8924501 0.211883../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.8] 8754227 0.211942../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.8] 8754145 0.211942../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.8] 8754038 0.211943../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.9] 9039665 0.21195 ../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.9] 9341626 0.212244../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.9] 9341243 0.212244../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.9] 9341592 0.212245../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.6] 7647267 0.21228 ../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.7] 7853494 0.212471../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.7] 7850797 0.212473../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.7] 7850456 0.212475../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.5] 6878956 0.213398../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.8] 9741672 0.213594../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.8] 9733356 0.213597../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.8] 9730334 0.213597../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 9365652 0.213688../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 10261679 0.21381 ../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 9117910 0.213816../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10268390 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10268390 0.213821../../result/log/zipf_1_18 0.1 1
Offline Clock 1st iteration 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10268275 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10268371 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10268394 0.213821../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10267558 0.213822../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.9] 10268337 0.213822../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 10268299 0.213822../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 10268317 0.213822../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.9] 10268339 0.213822../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.9] 10268336 0.213822../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 10268320 0.213822../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 10268220 0.213822../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10268004 0.213822../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10267445 0.213823../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10267391 0.213823../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10267498 0.213823../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10265719 0.213826../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10265766 0.213826../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10265503 0.213827../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10264796 0.213827../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10265072 0.213828../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10246600 0.213863../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10232603 0.21389 ../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10173266 0.214004../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10137363 0.214076../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.6] 6486303 0.215298../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.6] 6482567 0.215311../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.6] 6482470 0.215314../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 7246270 0.216207../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 7197960 0.216277../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.7] 7147408 0.216413../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.7] 7145387 0.216423../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.7] 7146208 0.216425../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7362339 0.216707../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7373428 0.216722../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7378247 0.216723../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7339829 0.216762../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7341125 0.216763../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7342591 0.216769../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7214951 0.216993../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7213180 0.216996../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7213784 0.217002../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 8222957 0.218635../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 8205983 0.218665../../result/log/zipf_1_18 0.1 1
LR_6_imba[cache_size=0.1,treshold=0.5] 6323902 0.219197../../result/log/zipf_1_18 0.1 1
LR_5_imba[cache_size=0.1,treshold=0.5] 6324589 0.219199../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7887789 0.219208../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.5] 5078846 0.219871../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.5] 5078375 0.219879../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.5] 5077209 0.219881../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 5592708 0.22 ../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.6] 5359661 0.220687../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.6] 5363327 0.220687../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.6] 5361294 0.220688../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4945810 0.221416../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4940444 0.221432../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4928355 0.221478../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6736293 0.221977../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6730462 0.221994../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6725943 0.222006../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4741084 0.222144../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4737750 0.222154../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4736931 0.222155../../result/log/zipf_1_18 0.1 1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 4942938 0.222374../../result/log/zipf_1_18 0.1 1
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 4942266 0.222374../../result/log/zipf_1_18 0.1 1
LR_6[cache_size=0.1,treshold=0.5] 4942139 0.222376../../result/log/zipf_1_18 0.1 1
LR_4[cache_size=0.1,treshold=0.5] 4942427 0.222376../../result/log/zipf_1_18 0.1 1
LR_5[cache_size=0.1,treshold=0.5] 4940892 0.222382../../result/log/zipf_1_18 0.1 1
LR_1_log[cache_size=0.1,treshold=0.5] 5082303 0.222415../../result/log/zipf_1_18 0.1 1
LR_4_log[cache_size=0.1,treshold=0.5] 4988987 0.222465../../result/log/zipf_1_18 0.1 1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 5068905 0.222693../../result/log/zipf_1_18 0.1 1
LR_1[cache_size=0.1,treshold=0.5] 5068447 0.222694../../result/log/zipf_1_18 0.1 1
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 5068865 0.222696../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6310574 0.223174../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6301429 0.2232 ../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6290318 0.223233../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 5703945 0.223677../../result/log/zipf_1_18 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 4296089 0.224223../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5378521 0.22446 ../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.5] 4191256 0.224647../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.5] 4189562 0.22465 ../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.5] 4186886 0.224658../../result/log/zipf_1_18 0.1 1
LR_3[cache_size=0.1,treshold=0.5] 5627269 0.225357../../result/log/zipf_1_18 0.1 1
LR_2[cache_size=0.1,treshold=0.5] 5627475 0.225357../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3783438 0.225822../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3782855 0.225824../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3781996 0.225825../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3707404 0.22616 ../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3706614 0.226162../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3706165 0.226163../../result/log/zipf_1_18 0.1 1
LR_id[cache_size=0.1,treshold=0.3] 3208931 0.227074../../result/log/zipf_1_18 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 3446142 0.22773 ../../result/log/zipf_1_18 0.1 1
LR_4_mean[cache_size=0.1,treshold=0.5] 4361666 0.227982../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3987771 0.22815 ../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3881983 0.228452../../result/log/zipf_1_18 0.1 1
LR_1_mean[cache_size=0.1,treshold=0.5] 4494061 0.228911../../result/log/zipf_1_18 0.1 1
LR_3_mean[cache_size=0.1,treshold=0.5] 4458450 0.229048../../result/log/zipf_1_18 0.1 1
LR_3_log[cache_size=0.1,treshold=0.5] 4449721 0.229052../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3076947 0.229054../../result/log/zipf_1_18 0.1 1
LR_2_mean[cache_size=0.1,treshold=0.5] 4453262 0.229067../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3072966 0.229068../../result/log/zipf_1_18 0.1 1
LR_2_log[cache_size=0.1,treshold=0.5] 4444231 0.229071../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3071983 0.229074../../result/log/zipf_1_18 0.1 1
LR_8_id[cache_size=0.1,treshold=0.3] 2976614 0.2294 ../../result/log/zipf_1_18 0.1 1
LR_7_id[cache_size=0.1,treshold=0.3] 2974787 0.229412../../result/log/zipf_1_18 0.1 1
LR_9_id[cache_size=0.1,treshold=0.3] 2974231 0.229413../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4259760 0.229759../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4245659 0.229806../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4235341 0.229844../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4111719 0.230295../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4091554 0.230369../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4084804 0.230396../../result/log/zipf_1_18 0.1 1
LR_8[cache_size=0.1,treshold=0.3] 2725888 0.231245../../result/log/zipf_1_18 0.1 1
LR_7[cache_size=0.1,treshold=0.3] 2726028 0.231245../../result/log/zipf_1_18 0.1 1
LR_9[cache_size=0.1,treshold=0.3] 2724475 0.231254../../result/log/zipf_1_18 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 2827548 0.231655../../result/log/zipf_1_18 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2486239 0.232138../../result/log/zipf_1_18 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2485952 0.23214 ../../result/log/zipf_1_18 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2484643 0.232147../../result/log/zipf_1_18 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2224237 0.234594../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2790123 0.235581../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2784189 0.235606../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2777866 0.235634../../result/log/zipf_1_18 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1685281 0.240813../../result/log/zipf_1_18 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1659881 0.240945../../result/log/zipf_1_18 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1647709 0.241008../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 524835 0.247503../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 420590 0.248191../../result/log/zipf_1_18 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 261028 0.249289../../result/log/zipf_1_18 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193808 0.249767../../result/log/zipf_1_18 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5677502 0.147262../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.7] 7972640 0.149937../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.8] 8441973 0.150095../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.6] 7396653 0.150098../../result/log/zipf_1_18 0.2 1
Zipf Optimal Distribution 8501025 0.150135../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.8] 8538391 0.150334../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.8] 8539478 0.150335../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.8] 8539435 0.150335../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.9] 8880133 0.150495../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.7] 7574071 0.150578../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.7] 7572612 0.15058 ../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.7] 7572953 0.15058 ../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.5] 6597496 0.150948../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.9] 9179867 0.150957../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.9] 9180822 0.150958../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.9] 9181028 0.150959../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 8958412 0.152669../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 9198976 0.152684../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10001051 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
Offline Clock 1st iteration 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10001073 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001079 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10001014 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10001075 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10000989 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10001064 0.152706../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10001082 0.152706../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10000689 0.152707../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10000770 0.152707../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10000863 0.152707../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10000400 0.152708../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 9999791 0.152709../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.8] 9518277 0.152725../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.8] 9531160 0.152725../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.8] 9530717 0.152726../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.6] 6183808 0.152991../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.6] 6183597 0.152992../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.6] 6182464 0.152998../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9731125 0.153143../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9712664 0.153173../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9677477 0.153217../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9604512 0.153342../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9586153 0.153375../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9569726 0.153401../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9557960 0.153421../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9546034 0.153441../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9539359 0.153452../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 7124256 0.154171../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 7083041 0.154183../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.7] 7019488 0.154386../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.7] 7017240 0.154388../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.7] 7011633 0.1544 ../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 7232044 0.155134../../result/log/zipf_1_18 0.2 1
LR_6_imba[cache_size=0.2,treshold=0.5] 6437928 0.15645 ../../result/log/zipf_1_18 0.2 1
LR_5_imba[cache_size=0.2,treshold=0.5] 6440446 0.156456../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.5] 4848241 0.156769../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.5] 4847388 0.15677 ../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.5] 4847207 0.156774../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 5473386 0.157045../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.6] 5230219 0.157625../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.6] 5227751 0.157629../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.6] 5228225 0.157633../../result/log/zipf_1_18 0.2 1
LR_6[cache_size=0.2,treshold=0.5] 5042446 0.159108../../result/log/zipf_1_18 0.2 1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 5042455 0.159108../../result/log/zipf_1_18 0.2 1
LR_4[cache_size=0.2,treshold=0.5] 5042467 0.159109../../result/log/zipf_1_18 0.2 1
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 5043716 0.15911 ../../result/log/zipf_1_18 0.2 1
LR_5[cache_size=0.2,treshold=0.5] 5043426 0.159114../../result/log/zipf_1_18 0.2 1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 5109248 0.159353../../result/log/zipf_1_18 0.2 1
LR_1[cache_size=0.2,treshold=0.5] 5109890 0.159353../../result/log/zipf_1_18 0.2 1
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 5110975 0.159358../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5209868 0.159533../../result/log/zipf_1_18 0.2 1
LR_4_log[cache_size=0.2,treshold=0.5] 4768495 0.159568../../result/log/zipf_1_18 0.2 1
LR_1_log[cache_size=0.2,treshold=0.5] 4836539 0.159592../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6416264 0.159598../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6414024 0.159604../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6410976 0.159612../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6037496 0.160511../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6032945 0.160522../../result/log/zipf_1_18 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 4180333 0.160525../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6029208 0.160532../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.5] 4064793 0.160884../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.5] 4064000 0.160885../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.5] 4061832 0.160891../../result/log/zipf_1_18 0.2 1
LR_2[cache_size=0.2,treshold=0.5] 5494953 0.1621 ../../result/log/zipf_1_18 0.2 1
LR_3[cache_size=0.2,treshold=0.5] 5494460 0.162101../../result/log/zipf_1_18 0.2 1
LR_id[cache_size=0.2,treshold=0.3] 3103419 0.162456../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5012318 0.162518../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4633926 0.163246../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4628946 0.163257../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4696106 0.163353../../result/log/zipf_1_18 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 3329294 0.163546../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4358289 0.164 ../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354357 0.16401 ../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4348912 0.164022../../result/log/zipf_1_18 0.2 1
LR_4_mean[cache_size=0.2,treshold=0.5] 4280860 0.164073../../result/log/zipf_1_18 0.2 1
LR_7_id[cache_size=0.2,treshold=0.3] 2891019 0.164725../../result/log/zipf_1_18 0.2 1
LR_8_id[cache_size=0.2,treshold=0.3] 2890529 0.164729../../result/log/zipf_1_18 0.2 1
LR_9_id[cache_size=0.2,treshold=0.3] 2889403 0.164733../../result/log/zipf_1_18 0.2 1
LR_3_log[cache_size=0.2,treshold=0.5] 4396719 0.164977../../result/log/zipf_1_18 0.2 1
LR_2_log[cache_size=0.2,treshold=0.5] 4394588 0.164984../../result/log/zipf_1_18 0.2 1
LR_1_mean[cache_size=0.2,treshold=0.5] 4388454 0.165013../../result/log/zipf_1_18 0.2 1
LR_3_mean[cache_size=0.2,treshold=0.5] 4386420 0.16502 ../../result/log/zipf_1_18 0.2 1
LR_2_mean[cache_size=0.2,treshold=0.5] 4384161 0.165027../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4168860 0.165688../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4166293 0.165696../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4164948 0.1657 ../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021792 0.166162../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4021129 0.166164../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4020404 0.166167../../result/log/zipf_1_18 0.2 1
LR_8[cache_size=0.2,treshold=0.3] 2616633 0.16663 ../../result/log/zipf_1_18 0.2 1
LR_7[cache_size=0.2,treshold=0.3] 2614507 0.166639../../result/log/zipf_1_18 0.2 1
LR_9[cache_size=0.2,treshold=0.3] 2613531 0.166644../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3549900 0.166704../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3424820 0.166868../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3420968 0.166874../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3420634 0.166874../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3447337 0.167023../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2830581 0.167041../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3315878 0.167176../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3313663 0.16718 ../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3311610 0.16718 ../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2687574 0.169265../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2686271 0.169266../../result/log/zipf_1_18 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2738946 0.169396../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2839346 0.170344../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2826738 0.170393../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2821996 0.170412../../result/log/zipf_1_18 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1884210 0.171862../../result/log/zipf_1_18 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1875598 0.171873../../result/log/zipf_1_18 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1864572 0.171883../../result/log/zipf_1_18 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022922 0.172008../../result/log/zipf_1_18 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1746378 0.174979../../result/log/zipf_1_18 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1742595 0.174995../../result/log/zipf_1_18 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1739614 0.175008../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216802 0.183554../../result/log/zipf_1_18 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 128368 0.184183../../result/log/zipf_1_18 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101898 0.184375../../result/log/zipf_1_18 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5223361 0.0826611../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.6] 6618955 0.0862246../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.7] 7273878 0.0863665../../result/log/zipf_1_18 0.4 1
Zipf Optimal Distribution 7661309 0.0866641../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.5] 5748724 0.0867235../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.8] 7835397 0.0868498../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.7] 6773620 0.0870922../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.7] 6773137 0.0870943../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.7] 6771483 0.0870967../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.8] 7907230 0.0872232../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.8] 7907149 0.0872239../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.8] 7906497 0.087224 ../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.9] 8361108 0.0876435../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.9] 8682248 0.088346 ../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.9] 8682295 0.0883461../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.9] 8682321 0.0883467../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.6] 5412843 0.0887588../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.6] 5412546 0.0887612../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.6] 5410547 0.0887671../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 9239193 0.0896547../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
Offline Clock 1st iteration 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9239322 0.0896548../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9134443 0.0897668../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9129080 0.0897711../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9127796 0.0897718../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9123854 0.0897756../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 8679101 0.0897776../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9121194 0.0897778../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9118356 0.0897802../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 8541240 0.0897861../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.8] 8606890 0.0897961../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.8] 8606269 0.0897963../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.8] 8605948 0.0897965../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8876034 0.0900369../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8875782 0.0900375../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8873976 0.0900393../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8871898 0.0900416../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8871898 0.0900416../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8870323 0.0900431../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 7071600 0.0902846../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 7038189 0.0902871../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8398050 0.0905737../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8394273 0.0905789../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8392971 0.0905802../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.7] 6559790 0.0906075../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.7] 6559302 0.0906081../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.7] 6558997 0.0906083../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8347425 0.0906399../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8342049 0.0906462../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8339582 0.0906492../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.5] 4269384 0.0912721../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.5] 4269493 0.0912738../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.5] 4267964 0.0912791../../result/log/zipf_1_18 0.4 1
LR_6_imba[cache_size=0.4,treshold=0.5] 6404394 0.091365 ../../result/log/zipf_1_18 0.4 1
LR_5_imba[cache_size=0.4,treshold=0.5] 6422428 0.0913682../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 5452298 0.0915761../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.6] 4884896 0.0922985../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.6] 4884998 0.0922988../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.6] 4885257 0.0922992../../result/log/zipf_1_18 0.4 1
LR_6[cache_size=0.4,treshold=0.5] 4830011 0.0934535../../result/log/zipf_1_18 0.4 1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 4830065 0.0934552../../result/log/zipf_1_18 0.4 1
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 4832872 0.0934656../../result/log/zipf_1_18 0.4 1
LR_5[cache_size=0.4,treshold=0.5] 4831600 0.093467 ../../result/log/zipf_1_18 0.4 1
LR_1[cache_size=0.4,treshold=0.5] 4834107 0.0935084../../result/log/zipf_1_18 0.4 1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 4834074 0.0935088../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6207283 0.0935239../../result/log/zipf_1_18 0.4 1
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 4835691 0.0935256../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6205736 0.0935259../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6205631 0.093526 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6204563 0.0935274../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6205050 0.0935274../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6204516 0.0935275../../result/log/zipf_1_18 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 4087308 0.0936442../../result/log/zipf_1_18 0.4 1
LR_4[cache_size=0.4,treshold=0.5] 4706894 0.0937145../../result/log/zipf_1_18 0.4 1
LR_4_log[cache_size=0.4,treshold=0.5] 4266607 0.0940357../../result/log/zipf_1_18 0.4 1
LR_1_log[cache_size=0.4,treshold=0.5] 4287004 0.094049 ../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.5] 3738067 0.0942871../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.5] 3737695 0.0942873../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.5] 3737406 0.0942873../../result/log/zipf_1_18 0.4 1
LR_id[cache_size=0.4,treshold=0.3] 2795824 0.0945284../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5440870 0.0948423../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5440331 0.0948431../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5438445 0.0948469../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5425937 0.094869 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5425339 0.0948704../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5425052 0.0948708../../result/log/zipf_1_18 0.4 1
LR_3[cache_size=0.4,treshold=0.5] 5039207 0.0956179../../result/log/zipf_1_18 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 3202374 0.0956342../../result/log/zipf_1_18 0.4 1
LR_8_id[cache_size=0.4,treshold=0.3] 2651932 0.0964927../../result/log/zipf_1_18 0.4 1
LR_9_id[cache_size=0.4,treshold=0.3] 2651461 0.0964936../../result/log/zipf_1_18 0.4 1
LR_7_id[cache_size=0.4,treshold=0.3] 2651369 0.096495 ../../result/log/zipf_1_18 0.4 1
LR_2[cache_size=0.4,treshold=0.5] 4366182 0.0969259../../result/log/zipf_1_18 0.4 1
LR_4_mean[cache_size=0.4,treshold=0.5] 3951035 0.0969853../../result/log/zipf_1_18 0.4 1
LR_2_log[cache_size=0.4,treshold=0.5] 4104174 0.09727 ../../result/log/zipf_1_18 0.4 1
LR_3_log[cache_size=0.4,treshold=0.5] 4103955 0.0972711../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4206472 0.0972979../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4206364 0.0972982../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4206364 0.0972982../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4206241 0.0972983../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4205763 0.0972989../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4205509 0.0972996../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4021280 0.0976172../../result/log/zipf_1_18 0.4 1
LR_1_mean[cache_size=0.4,treshold=0.5] 4048907 0.0976725../../result/log/zipf_1_18 0.4 1
LR_3_mean[cache_size=0.4,treshold=0.5] 4049177 0.0976736../../result/log/zipf_1_18 0.4 1
LR_2_mean[cache_size=0.4,treshold=0.5] 4048435 0.0976752../../result/log/zipf_1_18 0.4 1
LR_8[cache_size=0.4,treshold=0.3] 2379447 0.0982088../../result/log/zipf_1_18 0.4 1
LR_7[cache_size=0.4,treshold=0.3] 2379087 0.0982092../../result/log/zipf_1_18 0.4 1
LR_9[cache_size=0.4,treshold=0.3] 2378793 0.09821 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3760419 0.0983445../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3759353 0.098348 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3759032 0.0983493../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3726947 0.098431 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3726252 0.0984329../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3725664 0.0984347../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3002012 0.100368 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3001303 0.10037 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3000730 0.100371 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998393 0.100377 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998070 0.100379 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998127 0.100379 ../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 2346146 0.102163 ../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2082036 0.103021 ../../result/log/zipf_1_18 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 1748734 0.104229 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1807986 0.104327 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1807260 0.10433 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1806245 0.104333 ../../result/log/zipf_1_18 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1790277 0.104379 ../../result/log/zipf_1_18 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1789672 0.104381 ../../result/log/zipf_1_18 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1788884 0.104384 ../../result/log/zipf_1_18 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1267830 0.106096 ../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 87300 0.112988 ../../result/log/zipf_1_18 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 51051 0.113252 ../../result/log/zipf_1_18 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 35928 0.113367 ../../result/log/zipf_1_18 0.4 1

zipf_1_19

Ignore Obj Size

0.01

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 6047379 0.403776../../result/log/zipf_1_19 0.01 1
Zipf Optimal Distribution 9518278 0.404475../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.9] 9410677 0.404493../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.9] 9411069 0.404493../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.9] 9409383 0.404493../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.9] 9118956 0.404499../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.8] 8857469 0.4047 ../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.8] 8855528 0.404704../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.8] 8853904 0.404707../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.8] 8730231 0.404721../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.8] 9774585 0.404917../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.8] 9740851 0.404951../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10082203 0.404951../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10077937 0.404953../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10079430 0.404954../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.8] 9724440 0.404975../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.7] 10133038 0.404988../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.7] 9666736 0.405001../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.8] 10207388 0.405041../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.9] 10300967 0.405117../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.9] 10302179 0.405117../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.9] 10302521 0.405119../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.8] 10310249 0.405126../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.7] 8315838 0.40516 ../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.6] 9504429 0.40516 ../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.9] 10370212 0.405186../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.9] 10398195 0.405215../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10442777 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10442777 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
Offline Clock 1st iteration 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.6] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.9] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.7] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.8] 10442800 0.405256../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.5] 10442674 0.405257../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.6] 10442678 0.405257../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.8] 10442755 0.405257../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.8] 8731810 0.405258../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.7] 10441576 0.405263../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.8] 8730846 0.405291../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.8] 8737350 0.405305../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8584122 0.405369../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8589020 0.405382../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.7] 8591958 0.405388../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8328686 0.405651../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8328901 0.405658../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.6] 8328073 0.405661../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.7] 8062491 0.405724../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.7] 8051860 0.405756../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.7] 8044949 0.405779../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.6] 7801661 0.405974../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.5] 7070103 0.407609../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.6] 7838599 0.408341../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.5] 7777835 0.408477../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6917008 0.408525../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6915836 0.408529../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.6] 6914435 0.408534../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6870202 0.40863 ../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6868092 0.408636../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.5] 6867548 0.408639../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.6] 6819616 0.408917../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.6] 6800029 0.409017../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.6] 6789166 0.409076../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.7] 7449074 0.409285../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.7] 6647233 0.409316../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.7] 6645302 0.409327../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.7] 6643912 0.409333../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.7] 7441699 0.409355../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.7] 7447270 0.409369../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 8038537 0.412114../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5729486 0.412374../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5728669 0.412378../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 5728158 0.412379../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7861385 0.412668../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.5] 7762167 0.412987../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.5] 6101714 0.413416../../result/log/zipf_1_19 0.01 1
LR_5_imba[cache_size=0.01,treshold=0.5] 6123011 0.413432../../result/log/zipf_1_19 0.01 1
LR_6_imba[cache_size=0.01,treshold=0.5] 6121153 0.413437../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.6] 5394297 0.413707../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.6] 5394857 0.413707../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.6] 5393299 0.413714../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.5] 8244858 0.413813../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.7] 8244858 0.413813../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.5] 5354665 0.414536../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.5] 5352336 0.414575../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.5] 5354640 0.414577../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.6] 5626394 0.415125../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.6] 5605240 0.415182../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.6] 5578484 0.415245../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4780624 0.416355../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4779895 0.416359../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4779771 0.416359../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.6] 6739492 0.416374../../result/log/zipf_1_19 0.01 1
LR_1_log[cache_size=0.01,treshold=0.5] 5325634 0.416743../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.6] 6618972 0.416793../../result/log/zipf_1_19 0.01 1
LR_4_log[cache_size=0.01,treshold=0.5] 5204272 0.416963../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.6] 6559818 0.417008../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.5] 4547437 0.417477../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.5] 4546078 0.417482../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.5] 4545854 0.417485../../result/log/zipf_1_19 0.01 1
LR_4[cache_size=0.01,treshold=0.5] 4812950 0.418032../../result/log/zipf_1_19 0.01 1
LR_6[cache_size=0.01,treshold=0.5] 4813062 0.418032../../result/log/zipf_1_19 0.01 1
LR_4_std_scaler[cache_size=0.01,treshold=0.5] 4812947 0.418032../../result/log/zipf_1_19 0.01 1
LR_4_robust_scaler[cache_size=0.01,treshold=0.5] 4812493 0.418034../../result/log/zipf_1_19 0.01 1
LR_5[cache_size=0.01,treshold=0.5] 4812116 0.418036../../result/log/zipf_1_19 0.01 1
LR_1[cache_size=0.01,treshold=0.5] 4792180 0.418633../../result/log/zipf_1_19 0.01 1
LR_1_robust_scaler[cache_size=0.01,treshold=0.5] 4791414 0.418634../../result/log/zipf_1_19 0.01 1
LR_1_std_scaler[cache_size=0.01,treshold=0.5] 4791105 0.418637../../result/log/zipf_1_19 0.01 1
LR_7_w_0_5[cache_size=0.01,treshold=0.3] 4657178 0.418938../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4090181 0.419771../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4089255 0.419775../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 4088791 0.419777../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.5] 4379187 0.420192../../result/log/zipf_1_19 0.01 1
LR_3[cache_size=0.01,treshold=0.5] 5680878 0.420217../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.5] 4372916 0.420231../../result/log/zipf_1_19 0.01 1
LR_2[cache_size=0.01,treshold=0.5] 5660771 0.420299../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.5] 4352719 0.420313../../result/log/zipf_1_19 0.01 1
LR_4_mean[cache_size=0.01,treshold=0.5] 4770708 0.421071../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.6] 5953935 0.421167../../result/log/zipf_1_19 0.01 1
LR_1_mean[cache_size=0.01,treshold=0.5] 4836861 0.42164 ../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_5[cache_size=0.01,treshold=0.3] 4857424 0.422397../../result/log/zipf_1_19 0.01 1
LR_7_w_0_75[cache_size=0.01,treshold=0.3] 3709293 0.423354../../result/log/zipf_1_19 0.01 1
LR_id[cache_size=0.01,treshold=0.3] 3387293 0.423521../../result/log/zipf_1_19 0.01 1
LR_8_decay_rtime[cache_size=0.01,treshold=0.3] 3364481 0.42381 ../../result/log/zipf_1_19 0.01 1
LR_9_decay_rtime[cache_size=0.01,treshold=0.3] 3363160 0.423819../../result/log/zipf_1_19 0.01 1
LR_7_decay_rtime[cache_size=0.01,treshold=0.3] 3362791 0.423821../../result/log/zipf_1_19 0.01 1
LR_3_log[cache_size=0.01,treshold=0.5] 4451471 0.424891../../result/log/zipf_1_19 0.01 1
LR_3_mean[cache_size=0.01,treshold=0.5] 4472878 0.424991../../result/log/zipf_1_19 0.01 1
LR_2_log[cache_size=0.01,treshold=0.5] 4388212 0.42517 ../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4435289 0.425171../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4415670 0.425257../../result/log/zipf_1_19 0.01 1
LR_2_mean[cache_size=0.01,treshold=0.5] 4403959 0.425278../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 4364878 0.425469../../result/log/zipf_1_19 0.01 1
LR_7_id[cache_size=0.01,treshold=0.3] 3083078 0.426186../../result/log/zipf_1_19 0.01 1
LR_8_id[cache_size=0.01,treshold=0.3] 3079583 0.426215../../result/log/zipf_1_19 0.01 1
LR_9_id[cache_size=0.01,treshold=0.3] 3071510 0.426272../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.5] 3769376 0.427171../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.5] 3800509 0.427938../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.5] 3799093 0.427947../../result/log/zipf_1_19 0.01 1
LR_8[cache_size=0.01,treshold=0.3] 2830825 0.428173../../result/log/zipf_1_19 0.01 1
LR_7[cache_size=0.01,treshold=0.3] 2829026 0.428175../../result/log/zipf_1_19 0.01 1
LR_9[cache_size=0.01,treshold=0.3] 2833220 0.428188../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.5] 3710430 0.428343../../result/log/zipf_1_19 0.01 1
LR_decay_rtime_w_0_75[cache_size=0.01,treshold=0.3] 2931443 0.429238../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2700454 0.433171../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2685039 0.43322 ../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 2567686 0.433827../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_5[cache_size=0.01,treshold=0.3] 2487045 0.434099../../result/log/zipf_1_19 0.01 1
LR_decay_rtime[cache_size=0.01,treshold=0.3] 1759129 0.435369../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.5] 2201811 0.435574../../result/log/zipf_1_19 0.01 1
LR_decay_vtime_w_0_75[cache_size=0.01,treshold=0.3] 1703282 0.438273../../result/log/zipf_1_19 0.01 1
LR_7_decay_vtime[cache_size=0.01,treshold=0.3] 1542115 0.439306../../result/log/zipf_1_19 0.01 1
LR_8_decay_vtime[cache_size=0.01,treshold=0.3] 1458005 0.439802../../result/log/zipf_1_19 0.01 1
LR_9_decay_vtime[cache_size=0.01,treshold=0.3] 1397220 0.440189../../result/log/zipf_1_19 0.01 1
LR_decay_vtime[cache_size=0.01,treshold=0.3] 1176733 0.441303../../result/log/zipf_1_19 0.01 1

0.1

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5852464 0.209927../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.8] 8629384 0.211872../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.7] 8191979 0.211936../../result/log/zipf_1_19 0.1 1
Zipf Optimal Distribution 8923837 0.21197 ../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.8] 8754745 0.212015../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.8] 8754617 0.212016../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.8] 8754920 0.212016../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.9] 9039755 0.212031../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.9] 9342094 0.21231 ../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.9] 9342487 0.212311../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.9] 9342552 0.212311../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.6] 7647777 0.212341../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.7] 7854937 0.212546../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.7] 7852605 0.212549../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.7] 7852206 0.212552../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.5] 6877809 0.213473../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.8] 9745686 0.213665../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.8] 9737676 0.213668../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.8] 9734226 0.213668../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.7] 9368249 0.21376 ../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.7] 10263795 0.213873../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.8] 10270641 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10270641 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
Offline Clock 1st iteration 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.8] 10270565 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10270627 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.6] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.7] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.8] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.9] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10270642 0.213882../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10269849 0.213883../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.9] 10270589 0.213883../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.9] 10270590 0.213883../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.8] 10270549 0.213883../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.9] 10270564 0.213883../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.7] 10270247 0.213883../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.9] 10270587 0.213883../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.9] 10270568 0.213883../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.8] 10270498 0.213883../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10269653 0.213884../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10269756 0.213884../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.6] 10269702 0.213884../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10268048 0.213887../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10268003 0.213887../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.6] 10267105 0.213888../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.7] 10267513 0.213888../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.6] 9121423 0.213888../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10267913 0.213888../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10250819 0.213922../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.7] 10237768 0.213947../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.5] 10178551 0.214057../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.7] 10141980 0.214132../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.6] 6485766 0.215376../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.6] 6481970 0.21539 ../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.6] 6482005 0.215393../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.6] 7245985 0.216268../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.5] 7198207 0.216341../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.7] 7147789 0.216477../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.7] 7146054 0.216485../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.7] 7147145 0.216487../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7362596 0.216784../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7373487 0.216798../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 7378245 0.2168 ../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7339958 0.216839../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7341063 0.216841../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 7342811 0.216847../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.7] 7213949 0.217073../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.7] 7212388 0.217075../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.7] 7213158 0.21708 ../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.5] 8225582 0.218702../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.6] 8208176 0.218733../../result/log/zipf_1_19 0.1 1
LR_6_imba[cache_size=0.1,treshold=0.5] 6326722 0.219267../../result/log/zipf_1_19 0.1 1
LR_5_imba[cache_size=0.1,treshold=0.5] 6327357 0.219269../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.7] 7889703 0.219279../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.5] 5076838 0.219951../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.5] 5076289 0.21996 ../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.5] 5075084 0.219962../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.5] 5591193 0.220065../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.6] 5361338 0.220758../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.6] 5357160 0.220761../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.6] 5359165 0.220761../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4944365 0.22149 ../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4939071 0.221505../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 4927336 0.221548../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6738149 0.222055../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6732679 0.22207 ../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.5] 6728160 0.222082../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.6] 4740122 0.222219../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.6] 4737502 0.222224../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.6] 4736635 0.222227../../result/log/zipf_1_19 0.1 1
LR_4_std_scaler[cache_size=0.1,treshold=0.5] 4940787 0.222448../../result/log/zipf_1_19 0.1 1
LR_4[cache_size=0.1,treshold=0.5] 4941149 0.222449../../result/log/zipf_1_19 0.1 1
LR_4_robust_scaler[cache_size=0.1,treshold=0.5] 4941514 0.222449../../result/log/zipf_1_19 0.1 1
LR_6[cache_size=0.1,treshold=0.5] 4940800 0.22245 ../../result/log/zipf_1_19 0.1 1
LR_5[cache_size=0.1,treshold=0.5] 4939351 0.222458../../result/log/zipf_1_19 0.1 1
LR_1_log[cache_size=0.1,treshold=0.5] 5081805 0.222477../../result/log/zipf_1_19 0.1 1
LR_4_log[cache_size=0.1,treshold=0.5] 4988097 0.222532../../result/log/zipf_1_19 0.1 1
LR_1_robust_scaler[cache_size=0.1,treshold=0.5] 5067946 0.222764../../result/log/zipf_1_19 0.1 1
LR_1[cache_size=0.1,treshold=0.5] 5067442 0.222765../../result/log/zipf_1_19 0.1 1
LR_1_std_scaler[cache_size=0.1,treshold=0.5] 5067817 0.222768../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.6] 6314367 0.223239../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.6] 6304920 0.223266../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.6] 6294254 0.223297../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.5] 5704563 0.223749../../result/log/zipf_1_19 0.1 1
LR_7_w_0_5[cache_size=0.1,treshold=0.3] 4293917 0.224299../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.6] 5379727 0.224537../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.5] 4189747 0.224721../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.5] 4187890 0.224725../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.5] 4185335 0.224731../../result/log/zipf_1_19 0.1 1
LR_2[cache_size=0.1,treshold=0.5] 5629164 0.225428../../result/log/zipf_1_19 0.1 1
LR_3[cache_size=0.1,treshold=0.5] 5628912 0.225429../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3783950 0.22588 ../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3783360 0.225882../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3782684 0.225883../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.5] 3708704 0.226217../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.5] 3707682 0.22622 ../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.5] 3707309 0.226221../../result/log/zipf_1_19 0.1 1
LR_id[cache_size=0.1,treshold=0.3] 3210331 0.227139../../result/log/zipf_1_19 0.1 1
LR_7_w_0_75[cache_size=0.1,treshold=0.3] 3446082 0.227797../../result/log/zipf_1_19 0.1 1
LR_4_mean[cache_size=0.1,treshold=0.5] 4367294 0.228027../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_5[cache_size=0.1,treshold=0.3] 3990730 0.228206../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.5] 3883613 0.228517../../result/log/zipf_1_19 0.1 1
LR_1_mean[cache_size=0.1,treshold=0.5] 4495753 0.228976../../result/log/zipf_1_19 0.1 1
LR_3_mean[cache_size=0.1,treshold=0.5] 4459508 0.229118../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3078255 0.229118../../result/log/zipf_1_19 0.1 1
LR_3_log[cache_size=0.1,treshold=0.5] 4449932 0.229128../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3074438 0.22913 ../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 3073381 0.229137../../result/log/zipf_1_19 0.1 1
LR_2_mean[cache_size=0.1,treshold=0.5] 4454187 0.229138../../result/log/zipf_1_19 0.1 1
LR_2_log[cache_size=0.1,treshold=0.5] 4444630 0.229148../../result/log/zipf_1_19 0.1 1
LR_8_id[cache_size=0.1,treshold=0.3] 2977124 0.229471../../result/log/zipf_1_19 0.1 1
LR_9_id[cache_size=0.1,treshold=0.3] 2974907 0.229481../../result/log/zipf_1_19 0.1 1
LR_7_id[cache_size=0.1,treshold=0.3] 2975448 0.229481../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4262655 0.229816../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4247721 0.229869../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 4237422 0.229904../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.5] 4113768 0.230355../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.5] 4093623 0.230429../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.5] 4087149 0.230453../../result/log/zipf_1_19 0.1 1
LR_8[cache_size=0.1,treshold=0.3] 2726410 0.231308../../result/log/zipf_1_19 0.1 1
LR_7[cache_size=0.1,treshold=0.3] 2726451 0.231308../../result/log/zipf_1_19 0.1 1
LR_9[cache_size=0.1,treshold=0.3] 2725232 0.231315../../result/log/zipf_1_19 0.1 1
LR_decay_rtime_w_0_75[cache_size=0.1,treshold=0.3] 2829720 0.231726../../result/log/zipf_1_19 0.1 1
LR_7_decay_rtime[cache_size=0.1,treshold=0.3] 2489838 0.232195../../result/log/zipf_1_19 0.1 1
LR_8_decay_rtime[cache_size=0.1,treshold=0.3] 2489585 0.232196../../result/log/zipf_1_19 0.1 1
LR_9_decay_rtime[cache_size=0.1,treshold=0.3] 2488451 0.232202../../result/log/zipf_1_19 0.1 1
LR_decay_rtime[cache_size=0.1,treshold=0.3] 2225772 0.234666../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2790002 0.235649../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2783985 0.235676../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 2777892 0.235702../../result/log/zipf_1_19 0.1 1
LR_7_decay_vtime[cache_size=0.1,treshold=0.3] 1682358 0.240908../../result/log/zipf_1_19 0.1 1
LR_8_decay_vtime[cache_size=0.1,treshold=0.3] 1658095 0.24103 ../../result/log/zipf_1_19 0.1 1
LR_9_decay_vtime[cache_size=0.1,treshold=0.3] 1646121 0.241091../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_5[cache_size=0.1,treshold=0.3] 525870 0.247567../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.5] 421338 0.248257../../result/log/zipf_1_19 0.1 1
LR_decay_vtime_w_0_75[cache_size=0.1,treshold=0.3] 259878 0.249368../../result/log/zipf_1_19 0.1 1
LR_decay_vtime[cache_size=0.1,treshold=0.3] 193843 0.249839../../result/log/zipf_1_19 0.1 1

0.2

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5678610 0.147359../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.7] 7971756 0.150029../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.8] 8442812 0.150187../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.6] 7400389 0.150191../../result/log/zipf_1_19 0.2 1
Zipf Optimal Distribution 8501803 0.150225../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.8] 8540239 0.150421../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.8] 8541371 0.150422../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.8] 8541229 0.150422../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.9] 8880816 0.150595../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.7] 7577046 0.150665../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.7] 7575633 0.150667../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.7] 7575859 0.150668../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.5] 6598915 0.151029../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.9] 9181435 0.151043../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.9] 9182305 0.151044../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.9] 9182539 0.151045../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.6] 8963623 0.152749../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.7] 9204046 0.152762../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.8] 10003444 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
Offline Clock 1st iteration 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10003468 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003474 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10003471 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10003399 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.9] 10003463 0.152791../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.6] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.9] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.7] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.8] 10003476 0.152791../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.8] 10003230 0.152792../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10003166 0.152792../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 10003304 0.152792../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.5] 10003403 0.152792../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.7] 10002848 0.152793../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.7] 10002271 0.152794../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.8] 9527439 0.152809../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.8] 9540045 0.15281 ../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.8] 9539643 0.152811../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.6] 6187691 0.153081../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.6] 6187412 0.153082../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.6] 6186171 0.153088../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9736194 0.153226../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9718350 0.153254../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.6] 9686542 0.153302../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.7] 9608791 0.153425../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.7] 9590329 0.153458../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.7] 9573701 0.153485../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9561609 0.153505../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9549551 0.153526../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.5] 9542561 0.153538../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.6] 7122669 0.154279../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.5] 7082399 0.154285../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.7] 7018961 0.154486../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.7] 7016787 0.154489../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.7] 7011377 0.154498../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.6] 7236022 0.155212../../result/log/zipf_1_19 0.2 1
LR_6_imba[cache_size=0.2,treshold=0.5] 6439521 0.156534../../result/log/zipf_1_19 0.2 1
LR_5_imba[cache_size=0.2,treshold=0.5] 6442574 0.156539../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.5] 4849243 0.156861../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.5] 4848378 0.156863../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.5] 4848075 0.156868../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.5] 5473127 0.157144../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.6] 5231219 0.157735../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.6] 5228001 0.15774 ../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.6] 5228702 0.157744../../result/log/zipf_1_19 0.2 1
LR_6[cache_size=0.2,treshold=0.5] 5041147 0.159207../../result/log/zipf_1_19 0.2 1
LR_4_robust_scaler[cache_size=0.2,treshold=0.5] 5041146 0.159207../../result/log/zipf_1_19 0.2 1
LR_4[cache_size=0.2,treshold=0.5] 5040880 0.159209../../result/log/zipf_1_19 0.2 1
LR_4_std_scaler[cache_size=0.2,treshold=0.5] 5042384 0.15921 ../../result/log/zipf_1_19 0.2 1
LR_5[cache_size=0.2,treshold=0.5] 5042184 0.159214../../result/log/zipf_1_19 0.2 1
LR_1[cache_size=0.2,treshold=0.5] 5108923 0.159451../../result/log/zipf_1_19 0.2 1
LR_1_robust_scaler[cache_size=0.2,treshold=0.5] 5108169 0.159453../../result/log/zipf_1_19 0.2 1
LR_1_std_scaler[cache_size=0.2,treshold=0.5] 5110272 0.159457../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5211471 0.159619../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6419320 0.15967 ../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6416760 0.159677../../result/log/zipf_1_19 0.2 1
LR_4_log[cache_size=0.2,treshold=0.5] 4766371 0.159681../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.5] 6413917 0.159685../../result/log/zipf_1_19 0.2 1
LR_1_log[cache_size=0.2,treshold=0.5] 4838422 0.15969 ../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.6] 6040435 0.16059 ../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.6] 6035527 0.160602../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.6] 6031708 0.160611../../result/log/zipf_1_19 0.2 1
LR_7_w_0_5[cache_size=0.2,treshold=0.3] 4180432 0.160631../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.5] 4063624 0.16099 ../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.5] 4062831 0.160991../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.5] 4060749 0.160996../../result/log/zipf_1_19 0.2 1
LR_2[cache_size=0.2,treshold=0.5] 5497445 0.162166../../result/log/zipf_1_19 0.2 1
LR_3[cache_size=0.2,treshold=0.5] 5497016 0.162167../../result/log/zipf_1_19 0.2 1
LR_id[cache_size=0.2,treshold=0.3] 3103858 0.162548../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 5014727 0.162587../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4634872 0.163328../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.5] 4630019 0.163338../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.6] 4697660 0.163434../../result/log/zipf_1_19 0.2 1
LR_7_w_0_75[cache_size=0.2,treshold=0.3] 3328040 0.16365 ../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.6] 4358524 0.164088../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.6] 4354820 0.164095../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.6] 4349662 0.164106../../result/log/zipf_1_19 0.2 1
LR_4_mean[cache_size=0.2,treshold=0.5] 4279043 0.164185../../result/log/zipf_1_19 0.2 1
LR_7_id[cache_size=0.2,treshold=0.3] 2889792 0.164828../../result/log/zipf_1_19 0.2 1
LR_8_id[cache_size=0.2,treshold=0.3] 2889207 0.164832../../result/log/zipf_1_19 0.2 1
LR_9_id[cache_size=0.2,treshold=0.3] 2888117 0.164836../../result/log/zipf_1_19 0.2 1
LR_3_log[cache_size=0.2,treshold=0.5] 4397016 0.165061../../result/log/zipf_1_19 0.2 1
LR_2_log[cache_size=0.2,treshold=0.5] 4394951 0.165067../../result/log/zipf_1_19 0.2 1
LR_1_mean[cache_size=0.2,treshold=0.5] 4389181 0.165095../../result/log/zipf_1_19 0.2 1
LR_3_mean[cache_size=0.2,treshold=0.5] 4387321 0.165101../../result/log/zipf_1_19 0.2 1
LR_2_mean[cache_size=0.2,treshold=0.5] 4385144 0.165108../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4168193 0.165781../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4165664 0.165789../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_5[cache_size=0.2,treshold=0.3] 4164389 0.165793../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.5] 4021224 0.166255../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.5] 4020467 0.166257../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.5] 4019870 0.16626 ../../result/log/zipf_1_19 0.2 1
LR_8[cache_size=0.2,treshold=0.3] 2617038 0.166725../../result/log/zipf_1_19 0.2 1
LR_7[cache_size=0.2,treshold=0.3] 2614883 0.166734../../result/log/zipf_1_19 0.2 1
LR_9[cache_size=0.2,treshold=0.3] 2613982 0.166738../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3547472 0.166795../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3422829 0.166958../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3418885 0.166964../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_5[cache_size=0.2,treshold=0.3] 3419143 0.166965../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.5] 3445218 0.167118../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2833469 0.167132../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.5] 3313887 0.167272../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.5] 3311199 0.167277../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.5] 3309168 0.167279../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2688161 0.169347../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2689419 0.169347../../result/log/zipf_1_19 0.2 1
LR_decay_rtime_w_0_75[cache_size=0.2,treshold=0.3] 2740149 0.169474../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2839119 0.170428../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2826644 0.170475../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 2822285 0.170492../../result/log/zipf_1_19 0.2 1
LR_9_decay_rtime[cache_size=0.2,treshold=0.3] 1882802 0.17196 ../../result/log/zipf_1_19 0.2 1
LR_7_decay_rtime[cache_size=0.2,treshold=0.3] 1874229 0.171972../../result/log/zipf_1_19 0.2 1
LR_8_decay_rtime[cache_size=0.2,treshold=0.3] 1863324 0.171982../../result/log/zipf_1_19 0.2 1
LR_decay_rtime[cache_size=0.2,treshold=0.3] 2022841 0.172114../../result/log/zipf_1_19 0.2 1
LR_8_decay_vtime[cache_size=0.2,treshold=0.3] 1747213 0.175067../../result/log/zipf_1_19 0.2 1
LR_7_decay_vtime[cache_size=0.2,treshold=0.3] 1743406 0.175084../../result/log/zipf_1_19 0.2 1
LR_9_decay_vtime[cache_size=0.2,treshold=0.3] 1740286 0.175099../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.5] 216718 0.183648../../result/log/zipf_1_19 0.2 1
LR_decay_vtime_w_0_75[cache_size=0.2,treshold=0.3] 128654 0.184273../../result/log/zipf_1_19 0.2 1
LR_decay_vtime[cache_size=0.2,treshold=0.3] 101988 0.184469../../result/log/zipf_1_19 0.2 1

0.4

Model Promotion Miss RatioTrace Cache Size Ignore Obj Size
Offline Clock 2nd iteration 5227240 0.0827181../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.6] 6629563 0.0862773../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.7] 7277508 0.086428 ../../result/log/zipf_1_19 0.4 1
Zipf Optimal Distribution 7662557 0.0867323../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.5] 5762523 0.0867773../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.8] 7839055 0.0869131../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.7] 6776845 0.0871428../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.7] 6776240 0.0871441../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.7] 6774512 0.0871471../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.8] 7909913 0.087278 ../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.8] 7910430 0.0872782../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.8] 7910454 0.0872782../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.9] 8364424 0.0876923../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.9] 8688734 0.088387 ../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.9] 8688779 0.0883871../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.9] 8688685 0.0883872../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.6] 5415633 0.0888408../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.6] 5415350 0.0888433../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.6] 5413295 0.0888493../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
Offline Clock 1st iteration 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.7] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.6] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.9] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.8] 9241538 0.0897029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.7] 9241413 0.089703 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9142308 0.0898059../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.7] 8687945 0.0898086../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9137015 0.0898105../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.6] 9135706 0.0898118../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9131857 0.0898156../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9129103 0.0898186../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.6] 9126339 0.0898221../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.6] 8546144 0.0898246../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.8] 8613404 0.0898297../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.8] 8612504 0.0898298../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.8] 8612834 0.0898298../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8885718 0.0900705../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8885540 0.0900707../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8883733 0.0900732../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.5] 8881911 0.0900756../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8881911 0.0900756../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.5] 8880205 0.0900783../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.5] 7046696 0.0903306../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.6] 7078806 0.0903325../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.7] 8406465 0.0906164../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.7] 8402875 0.0906213../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.7] 8401407 0.0906235../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.7] 6570367 0.0906611../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.7] 6571009 0.0906615../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.7] 6570572 0.0906615../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.7] 8355243 0.0906845../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.7] 8350256 0.0906917../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.7] 8347871 0.0906953../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.5] 4274549 0.0913376../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.5] 4274688 0.0913389../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.5] 4273128 0.0913445../../result/log/zipf_1_19 0.4 1
LR_6_imba[cache_size=0.4,treshold=0.5] 6412184 0.0914239../../result/log/zipf_1_19 0.4 1
LR_5_imba[cache_size=0.4,treshold=0.5] 6430303 0.0914254../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.5] 5456760 0.091633 ../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.6] 4891710 0.0923776../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.6] 4891576 0.0923777../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.6] 4892065 0.0923778../../result/log/zipf_1_19 0.4 1
LR_6[cache_size=0.4,treshold=0.5] 4832850 0.093529 ../../result/log/zipf_1_19 0.4 1
LR_4_robust_scaler[cache_size=0.4,treshold=0.5] 4832894 0.09353 ../../result/log/zipf_1_19 0.4 1
LR_4_std_scaler[cache_size=0.4,treshold=0.5] 4835745 0.0935396../../result/log/zipf_1_19 0.4 1
LR_5[cache_size=0.4,treshold=0.5] 4834241 0.0935421../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6213305 0.0935792../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6211696 0.093582 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6211630 0.0935821../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6210984 0.0935835../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.5] 6210437 0.0935847../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.5] 6210484 0.0935848../../result/log/zipf_1_19 0.4 1
LR_1_robust_scaler[cache_size=0.4,treshold=0.5] 4836237 0.0935869../../result/log/zipf_1_19 0.4 1
LR_1[cache_size=0.4,treshold=0.5] 4836057 0.0935872../../result/log/zipf_1_19 0.4 1
LR_1_std_scaler[cache_size=0.4,treshold=0.5] 4837595 0.0936029../../result/log/zipf_1_19 0.4 1
LR_7_w_0_5[cache_size=0.4,treshold=0.3] 4094249 0.0936991../../result/log/zipf_1_19 0.4 1
LR_4[cache_size=0.4,treshold=0.5] 4711618 0.0937833../../result/log/zipf_1_19 0.4 1
LR_4_log[cache_size=0.4,treshold=0.5] 4275162 0.0941018../../result/log/zipf_1_19 0.4 1
LR_1_log[cache_size=0.4,treshold=0.5] 4294052 0.0941198../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.5] 3742627 0.0943506../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.5] 3742200 0.0943506../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.5] 3741938 0.094351 ../../result/log/zipf_1_19 0.4 1
LR_id[cache_size=0.4,treshold=0.3] 2797279 0.0945866../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.6] 5449365 0.0948911../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.6] 5448824 0.0948916../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.6] 5447047 0.0948944../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.6] 5433646 0.0949202../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.6] 5433109 0.094921 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.6] 5432704 0.0949214../../result/log/zipf_1_19 0.4 1
LR_3[cache_size=0.4,treshold=0.5] 5043935 0.0956911../../result/log/zipf_1_19 0.4 1
LR_7_w_0_75[cache_size=0.4,treshold=0.3] 3206061 0.0956919../../result/log/zipf_1_19 0.4 1
LR_8_id[cache_size=0.4,treshold=0.3] 2651871 0.0965619../../result/log/zipf_1_19 0.4 1
LR_9_id[cache_size=0.4,treshold=0.3] 2651334 0.0965631../../result/log/zipf_1_19 0.4 1
LR_7_id[cache_size=0.4,treshold=0.3] 2651298 0.096564 ../../result/log/zipf_1_19 0.4 1
LR_2[cache_size=0.4,treshold=0.5] 4368755 0.0970087../../result/log/zipf_1_19 0.4 1
LR_4_mean[cache_size=0.4,treshold=0.5] 3955892 0.0970495../../result/log/zipf_1_19 0.4 1
LR_2_log[cache_size=0.4,treshold=0.5] 4105485 0.0973513../../result/log/zipf_1_19 0.4 1
LR_3_log[cache_size=0.4,treshold=0.5] 4105180 0.0973528../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4210030 0.0973652../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4209872 0.0973656../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4209872 0.0973656../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 4209709 0.0973661../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4209273 0.0973674../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_5[cache_size=0.4,treshold=0.3] 4208949 0.0973683../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.6] 4025183 0.0976775../../result/log/zipf_1_19 0.4 1
LR_1_mean[cache_size=0.4,treshold=0.5] 4050641 0.0977567../../result/log/zipf_1_19 0.4 1
LR_3_mean[cache_size=0.4,treshold=0.5] 4050999 0.0977582../../result/log/zipf_1_19 0.4 1
LR_2_mean[cache_size=0.4,treshold=0.5] 4050317 0.09776 ../../result/log/zipf_1_19 0.4 1
LR_8[cache_size=0.4,treshold=0.3] 2383206 0.098261 ../../result/log/zipf_1_19 0.4 1
LR_7[cache_size=0.4,treshold=0.3] 2382856 0.0982613../../result/log/zipf_1_19 0.4 1
LR_9[cache_size=0.4,treshold=0.3] 2382602 0.098262 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.5] 3765171 0.0984136../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.5] 3763831 0.0984161../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.5] 3763446 0.0984165../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.5] 3728076 0.0984957../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.5] 3727412 0.0984974../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.5] 3726882 0.0984986../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3002421 0.100464 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3001864 0.100466 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 3001199 0.100468 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998705 0.100474 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998369 0.100475 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 2998397 0.100475 ../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_5[cache_size=0.4,treshold=0.3] 2351261 0.102228 ../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.5] 2086051 0.103083 ../../result/log/zipf_1_19 0.4 1
LR_decay_rtime_w_0_75[cache_size=0.4,treshold=0.3] 1752836 0.104286 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_vtime[cache_size=0.4,treshold=0.3] 1811701 0.104391 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_vtime[cache_size=0.4,treshold=0.3] 1811005 0.104394 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_vtime[cache_size=0.4,treshold=0.3] 1810195 0.104396 ../../result/log/zipf_1_19 0.4 1
LR_8_decay_rtime[cache_size=0.4,treshold=0.3] 1794046 0.104439 ../../result/log/zipf_1_19 0.4 1
LR_7_decay_rtime[cache_size=0.4,treshold=0.3] 1793392 0.104442 ../../result/log/zipf_1_19 0.4 1
LR_9_decay_rtime[cache_size=0.4,treshold=0.3] 1792436 0.104446 ../../result/log/zipf_1_19 0.4 1
LR_decay_rtime[cache_size=0.4,treshold=0.3] 1268826 0.106166 ../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.5] 86897 0.113065 ../../result/log/zipf_1_19 0.4 1
LR_decay_vtime_w_0_75[cache_size=0.4,treshold=0.3] 50915 0.113329 ../../result/log/zipf_1_19 0.4 1
LR_decay_vtime[cache_size=0.4,treshold=0.3] 36230 0.113439 ../../result/log/zipf_1_19 0.4 1